Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Conduct market research to identify customer needs and demands.
• Gather customer feedback on existing products and suggest improvements.
• Create product specifications, use cases, and user stories that outline product features and functionality.
• Stay up-to-date with industry trends, competitors, and new technologies and provide insights on any potential impact on the product.
• Attend conferences, trade shows, and other industry events to showcase the product and gather customer feedback

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Developing policies and strategies for acquiring new talent
• Analyzing the company’s hiring and talent needs to anticipate hiring
• Using various channels to source candidates
• Working with hiring managers to anticipate needs and fill positions
• Managing the screening process, including resume screening and interviewing
• Building relationships with applicants and past employees
• Researching talent acquisition trends to improve the process
• Representing the organization at job fairs and recruiting events

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Cold call people using a given phone directory to sell products
• Use scripts to provide information about product’s features, prices etc. and present their benefits
• Ask pertinent questions to understand the customer’s requirements
• Record the customer’s personal information accurately in a computer system
• Deal with complaints or doubts to safeguard the company’s reputation
• Go the “extra mile” to meet sales quota and facilitate future sales
• Keep records of calls and sales and record useful information

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Develop trust relationships with a portfolio of major clients
• Acquire a thorough understanding of key customer needs and requirements
• Expand the relationships with existing customers by continuously proposing solutions that meet their objectives
• Ensure the correct products and services are delivered to customers in a timely manner
• Resolve any issues and problems faced by customers and deal with complaints to maintain trust
• Play an integral part in generating new sales that will turn into long-lasting relationships
• Prepare regular reports of progress and forecasts to internal and external stakeholders using key account metrics

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Analyze market trends and development that may impact offline marketing activities
• Conduct research to identify emerging trends of consumers
• Design, collect and analyze customer satisfaction and feedback
• Execute activities to communicate business value proposition to customers
• Execute brand campaigns
• Forecast emerging market needs
• Generate customer awareness

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

As a Data A&I Director, you will be a business leader and you'll be able to transform and enable better decision-making through the usage of advanced analytics. You will be expected to work with the leadership team and function leaders to drive insights into actions that improve our company business results.

Are you passionate about analytics? We want your ability to connect and explore large data-sets, build predictive and descriptive models, and translate insights into business improving action are critical skills that we are looking for our work.

You will go deep, using artificial intelligence, data visualization, and analytic tools to unlock business building insights in our mountains of data. You should be proficient at demonstrating such technologies for solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions.

So just you know, for this role you'll have to:

• Be creative and committed problem-solver using Big Data and Advanced analytics skill alongside leadership and direct engagement of business leaders.
• Lead the data analytics team in company, competition trend analysis.
• Design research and analytic frameworks in the context of overall project objectives such as media effectiveness, consumer engagement, business model, optimization, etc.
• Execute research and analytics, including data sources identification, processing, algorithm development, turning insights into actionable recommendation and drive actions to business value creation.
• Collaborate actively and effectively with other functions senior management to accomplish project objectives.
• Lead analytic capability building program.

Job Requirements

• Min Bachelor’s in Data Analytics or Quantitative field like Computer Science, Systems engineering
• Minimum 8-10 years of solid experience in Business analysis and trend understanding.
• Demonstrate leadership in applying analytic techniques to deliver actionable insights from data.
• You will need strong written and verbal communication skills to influence others to take action.
• You should demonstrate the ability to handle multiple priorities.
• Collaborate within diverse organizations and teams and lead Data Analytics team.
• Having experience doing probabilistic modelling, expert on using R/Phyton/Knime.

About us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

As a Data A&I, you will be a business leader and you'll be able to transform and enable better decision-making through the usage of advanced analytics. To be successful you should look forward to be an effective communicator to drive insights into actions that improve our company business results.

Are you passionate about analytics? We want your ability to connect and explore large data-sets, build predictive and descriptive models, and translate insights into business improving action are critical skills that we are looking for our work.

You will go deep, using artificial intelligence, data visualization, and analytic tools to unlock business building insights in our mountains of data. You should be proficient at demonstrating such technologies for solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions.

So just you know, for this role you'll have to:

• Be creative and committed problem-solver using Big Data and Advanced analytics skill alongside leadership and direct engagement of business leaders.
• Design research and analytic frameworks in the context of overall project objectives such as media effectiveness, consumer engagement, business model, optimization, etc.
• Execute research and analytics, including data sources identification, processing, algorithm development, turning insights into actionable recommendation and drive actions to business value creation.
• Collaborate actively and effectively with other functions partners and senior management to accomplish project objectives.
• Participate in and lead analytic capability building program.

Job Requirements

• Min Bachelor’s in Data Analytics or Quantitative field like Computer Science, Systems engineering
• Minimum 4 years of solid experience in Business analysis.
• Demonstrate leadership in applying analytic techniques to deliver actionable insights from data.
• You will need strong written and verbal communication skills to influence others to take action.
• You should demonstrate the ability to handle multiple priorities.
• Collaborate within diverse organizations and teams.
• Having experience doing probabilistic modelling, know how to use R/Phyton/Knime, Spotfire.

About us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

Position

In a challenging and multicultural environment, we are looking for a Junior Data Analyst for our Data & Analytics team within Digital Excellance Center (DEC) department.

This is an exciting opportunity for a talented team-player to be part of a technology team that is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Market Risk, Trade Finance, Operations, Advanced analytics tools evaluations).

Main responsibilities

• As a Junior Data Analyst, you will work with AI Factory development team – who is building ML, NLP based algorithms to derive information from unstructured text, digital documents, scanned documents, web-sites, etc.
• You contribute to the development of transversal projects, improvement of capabilities of the team and promote AI based application development. The scope of responsibilities includes:
• Work closely with data scientist / data engineers on data retrival, collection, cleasing and annotation
• Utlize coding languages (Pythin, SQL, etc.) to build statistical patterns and analysis on given data and communicate them effectively
• Develop new or maintaining existing data processing pipelines
• Help team to make data-driven decisions and present data in understandable ways
• Working closely with internal stakeholders / cross functional teams
• Other relevant duties as assigned

Qualifications and Profile

• A Bachelor’s or Post graduate degree from a recognized university.
• Proficient of software development experience in programming languages such as Python / Java / Node.
• Strong background in mathematics and statistics
• Experience with data science / machine learning development tools such as Scikit-learn, Pandas, NumPy, NLTK, spaCy, TensorFlow, OpenCV, etc.
• Experience with NLP technologies, handling of unstructured text data, image processing (OCR) and web-scraping – is a value addition.
• Experience in databases such as MySQL, MongoDB or Redis graph.
• Intellectual curiosity and interest in finding new ways to do things, combined with outstanding written and verbal communication skills.
• Adaptable to changing business needs, strong sense of ownership and drive for customer focus and ability to collaborate effectively with IT managers, senior stakeholders to gather requirements and manage scope.
• Strong desire to keep abreast of emerging technologies
• Team player mindset
• Understanding and respect of cultural diversity

OVERVIEW

The Infant Educator is responsive to the needs of infants and toddlers. He/She creates a secure environment for infants and toddlers through nurturing respectful, responsive and reciprocal relationships with them. He/She also creates a quality learning environment by implementing developmentally appropriate curricula and programmes. He/She builds trusting and respectful relationships and partnerships with stakeholders by actively engaging the children’s family and community. As an Early Childhood educator, he/she engages in ongoing professional development and reflective practice, and contributes to fostering a culture of collaboration and collegiality with relevant stakeholders.

RESPONSIBILITIES

1. PLAN AND IMPLEMENT CURRICULUM AND PROGRAMMES

a) Develop routine caregiving approach, lesson experiences and learning materials aligned to the Early Years Development Framework

b) Create developmentally appropriate materials and resources to enhance quality learning environments

c) Document children’s learning and development

d) Implement strategies to build respectful, responsive and reciprocal relationships with infants and toddlers

e) Review health, safety, nutritional and hygiene practices in accordance with standards and procedures

f) Plan developmentally appropriate experiences in the infant care setting

2. BUILD STAKEHOLDER RELATIONSHIPS AND PARTNERSHIPS
a) Establish relationships with families to facilitate the continuity of care and learning between home and the Centre
b) Coordinate activities with families and community stakeholders
c) Facilitate collaboration with families and community stakeholders to enhance programmes and services

3. MANAGE FAMILY AND COMMUNITY PROGRAMMES

a) Execute collaborative projects with families and community stakeholders

b) Evaluate family and community initiatives and programmes for improvement

4. CONDUCT ROUTINE CAREGIVING
a) Conduct caregiving assessment
b) Provide routine caregiving practices in accordance to standards and procedures
c) Identify areas for improvement for routine caregiving

5. UPLIFT PROFESSIONAL PRACTICE
a) Promote the Centre’s vision, mission and values
b) Implement appropriate teaching and caregiving methods based on emerging sector trends, technologies and tools
c) Identify areas for improvement to enhance work performance
d) Propose improvements to professional development and service quality improvement activities
e) Develop new teaching and caregiving approaches based on observations

6. OTHERS

a) Any other duties as and when assigned by the Centre Leader

REQUIREMENTS

1. TECHNICAL COMPETENCIES

a) Please refer to SkillsFramework for Early Childhood sector

2. CORE COMPETENCIES
a) Strong multi-tasking skill

3. PREFERRED ACHIEVEMENTS / CHARACTERISTICS
a) EY2 certified with Early Childhood Development Agency (ECDA)
b) Advanced Certificate in Early Years (ACEY)

c) Certificate in Infant/Toddler Care and Development (CIT)

d) Higher Certificate in Infant Care (HCIC)

e) Candidates who are currently undergoing HCIC/ACEY are welcome to apply too

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

In this position, you will be working on end-to-end data pipeline implementation from understanding research objectives, collecting data using cameras and wearable sensor technology, exploring methods of data analysis, cleaning and pre-processing of raw data, modelling data using Machine Learning/Deep Learning techniques, and sharing of insights to stakeholders using visualizations.

Our research aims to understand passengers’ sitting behaviours and preferences on a flight so as to improve their in-flight experience. Your key role includes gathering data from sensors in a cabin simulator, leveraging on predictive modelling, and providing meaningful insights. In your day-to-day, you will be working closely with engineers, design researchers, and the project manager.

Requirements

• Bachelor's or Master’s degree (preferred) in Data Science, Computer Science, Engineering, and Mathematics, Statistics or any related field
• Applied experience with statistical modelling (hypothesis testing), machine learning (supervised and unsupervised learning techniques) and modern deep learning architectures (CNNs, LSTMs).
• Experience with at least one programming language (with a preference for those commonly used in machine learning or scientific computing such as Python)
• Proficient in digital signal processing and data analysis
• Familiar with embedded coding and iOS/Android app development using Kotlin, Java, XML
• Experience exploring, analysing, and visualising data.
• Hands-on experience using PyTorch, TensorFlow, Pandas, NumPy, Sklearn, or similar machine learning/scientific libraries.
• Proficient in handling complex requirements and turn into computation logic.
• Candidate should like reading documentation and research papers.
• Able to communicate and relay Data Science solutions adequately to business stakeholders.
• Candidate should be comfortable working on multiple projects and be in a dynamic environment.
• Candidate should be able to work independently as well as be a team player.
• Candidate is required to conduct research studies.
• Must be willing and able to conduct research studies on weekends.

In the face of rising global health crises such as COVID-19, a rapidly aging population and increasing healthcare consumption and costs, we have to be able to leverage on healthcare data to drive decisions and improvements to care quality, delivery, and value.

You will be part of a team that develops strategies and supporting policies to facilitate the discovery and exploitation of health technology and healthcare data. This team also develops frameworks to govern and manage the security and protection of data. Within the constantly evolving regulatory and policy space of technology, you will be working in a fast-paced and dynamic environment that requires managing multiple priorities and stakeholders with complex needs at the same time.

What you will be working on

• Formulate policies and frameworks to guide the Health Data Strategy to use of data enhance MOH’s management and exploitation of health data to achieve our policy, clinical and operations goals

• Review and refine on-going programs and efforts to empower stakeholders and increase ownership of data security and data protection risks and compliance.

• Assisting with data request evaluations and processes, including personal data protection impact assessments, data security risk assessments

• Resolving ad-hoc stakeholder queries on data governance issues

• Consolidate, track and report progress of data security and protection programmes.

• Collaborate with stakeholders to formulate approaches to protect data and to update senior management on data protection and risk mitigation.

What we are looking for

• Minimum of 5 years experience in data, preferably in the healthcare and/or public sector.

• Bachelor degree in Computer Science, Health Sciences, Health Informatics or related field.

• Experience in developing and implementing strategies and policies. Strategic thinking to reimagine Health Data Strategy as well as an ability to work through the operational details needed to implement the strategy

• Meticulous, able to work with granular data.

• Good understanding of the use of data in a healthcare environment.

• Excellent command of the English language with strong written and oral communication skills.

• Ability to engage stakeholders and balance conflicting demands, while managing their expectations

• Critical thinking and creative problem-solving skills

What would be advantageous for you to have

• A collaborative and curious mind-set to bring fresh perspectives to the team.

• Proactive attitude and appreciation for uncertainties and open-ended problems.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Tan Yan Shuo on statistical and machine learning theory under a project on the theoretical foundations of decision trees and ensembles.

The main responsibilities of the position include:
Proving theorems, forming new theoretical hypotheses, performing simulations, writing papers to communicate results, all under the PI’s direction.

Qualifications

• Qualifications / Discipline:
PhD in Statistics, Computer Science, or related field.

• Skills:
Strong mathematical training, deep understanding of statistical machine learning theory, especially in decision trees and ensembles.

• Experience:
Has several first author papers published in top machine learning venues (ICML, NeurIPS, AISTATS, JMLR).

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

Job Description

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 2-year full-time appointment at the academic rank of Senior Research Fellow (particularly strong applications at the level of Research Fellow will be considered). An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. There is the possibility to move to tenure track depending on performance. Start date is flexible, with the position expected to commence in the first half of 2024.

Purpose of the post

CRiHSP is hiring a highly motivated and experienced postdoctoral researcher. The successful candidate will bring a combination of technical expertise in data science and applied statistical methods in health systems research. They will make a significant contribution to setting up and developing the centre at this crucial stage in relation to its research, training, and evaluation and engagement areas of activity. The successful candidate will report to the CRiHSP Director of Research. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.

Main Duties and Responsibilities

The responsibilities include:

• Establishing an independent research programme as aligned with CRiHSP priorities by securing external funding;
• Supervising of junior research staff in data collection, analysis and dissemination;
• Contributing to research programmes and projects led by other researchers in CRiHSP;
• Facilitating the integration and curation of clinical and other routinely collected data across (NUHS)
• Contributing to postgraduate course design and teaching and on the job training of evaluation fellows; and
• Mentoring of students and junior researchers.

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances. In addition to these duties, the post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record (essential)
  

Experience

• At least 4 years' postdoctoral experience
  Proven track record in handling and analyzing large healthcare dataset (essential)
  Track record of publishing in international peer-reviewed journals (essential)
  Researchers with existing research activities related to developing and using artificial intelligence methods in the context of health systems research are particularly encouraged to apply
  

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
  Strong leadership skills with the ability to work independently and as part of a multidisciplinary team (essential)
  Highly developed problem-solving skills and adept at managing complex research data (essential)
  Evidence of potential to generate and maintain an independent stream of funding (essential)
  Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  Ability to work with culturally diverse populations (essential)
  

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above.

Who Are We?

At HoYoverse, we are committed to creating immersive virtual world experiences for players around the world. In addition to game products such as Genshin Impact, Honkai Impact 3rd, Tears of Themis, and Honkai: Star Rail, HoYoverse also launched the dynamic desktop software N0va Desktop, the community product HoYoLAB, and created a variety of products such as animations, comics, music, novels, and merchandise around our original creative concept.

Adhering to our mission of Tech Otakus Save the World, we have always been committed to technology research and development, exploring cutting-edge technologies, and have accumulated leading technical capabilities in cartoon rendering, artificial intelligence, cloud gaming technology, and other fields.

HoYoverse is actively engaged in globalization, with offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas.

When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy. This policy provides detailed insights into how your information is collected, used, and protected throughout the application process.
What You Will Do:

• Responsible for analyzing and strategizing the supply and distribution of global brand content for gaming, expanding the international influence of gaming content, and contributing to the Daily Active Users (DAU) and revenue of gaming projects.
• Evaluate and analyze the effectiveness of gaming-related activities on global content platforms and provide insights and recommendations for improving the effectiveness of various marketing activities.
• Conduct specialized research based on channels, platforms, Key Opinion Leaders (KOLs), etc., and provide valuable insights to support product design, iteration, and release.
• Enhance brand content infrastructure, assist in building a data metric system, create regular summaries of daily data monitoring dashboards, and propose solutions and recommendations for anomalies.
  

What We Are Looking For:

• Passion for gaming with a good understanding of the global gaming market, ability to provide market hypotheses and validate them based on user feedback, and insight into market trends.
• Highly data-sensitive, with strong logical and structured thinking, self-driven, and excellent communication skills.
• More than 3 years of relevant work experience in data analysis, proficient in using data analysis and statistical tools such as SQL, Excel, Python, etc.

We are an equal opportunity employer that believes diverse backgrounds are key to bringing our concepts to life. If you're looking to play a key role in creating the best immersive virtual world experience for our users, we invite you to join our team.

Life at Grab

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Get to know the Team:

Grab has been growing rapidly and expanding into multiple lines of businesses over the past few years. Grab Data Warehouse team is responsible for developing business intelligence systems using data from all lines of businesses in order to provide business insights to key stakeholders across the company.

Get to know the role:

Our team is now looking for experienced data engineers to design and enhance our data warehouse systems. The Data Engineer plays a key role within the data warehouse team in developing the data warehouse systems, working closely with stakeholders from multiple lines of business (LOBs).

Day to day responsibilities for Data Engineer includes but is not limited to:

• Participate in all aspects of developing a data warehouse system. Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple LOBs
• Liaison with Product, Business, Design and Engineering stakeholders to define and review technical specifications
• Design and implement scripts, ETL jobs, data models, etc.
  Provide horizontal, organization-wide visibility through metric measurements and insights regionally across different functions and teams
• Develop and uphold best practices with respect to change management, documentation and data protocols
• Identify system and application metrics, develop dashboards and setup alerts for metrics and thresholds
• Participate in technical and product discussions, code reviews, and on-call support activities

The Must-haves

• Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field
• At least 3-4 years of experience developing Data warehouse and Business Intelligence solutions
• Sound knowledge of data warehousing concepts , data modeling/architecture and SQL
• Ability to work in a fast-paced agile development environment
• Knowledge of programming languages such as Java, Scala, Python, etc.
• Understanding of performance, scalability and reliability concepts
• Experience with Big Data frameworks such as Hadoop, Spark, etc.
• Experience with developing data solutions on AWS
• Ability to drive initiatives and work independently, while being a team player who can liaison with various stakeholders across the organization
• Excellent written and verbal communication skills in English

The Nice-to-haves

• Experience with performance tuning & query optimization of data warehouse systems
• Experience with Graph DB
• Experience with Stream processing technologies such as Kafka, Spark streams, etc.

Working Location: Central

Working hours: 10am to 6pm (Monday to Friday)

Your role:

• Consolidate and analyze financial data (budgets, income statement forecasts etc.) taking into account company’s goals and financial standing
• Provide creative alternatives and recommendations to reduce costs and improve financial performance
• Assemble and summarize data to structure sophisticated reports on financial status and risks
• Develop financial models, conduct benchmarking and process analysis
• Conduct business studies on past, future and comparative performance and develop forecast models
• Identify trends, advise company and recommend actions to a senior financial analyst based on sound analysis
• Track and determine financial status by analyzing actual results in comparison with forecasts
• Reconcile transactions by comparing and correcting data
• Gain and update job knowledge to remain informed about novelty in the field
• Consult with management to guide and influence long term and strategic decision making within the broadest scope
• Drive process improvement and policy development initiatives that impact the function

Requirements

• Minimum Diploma and above
• Prior experience in the marketing field will be an advantage
• Results-oriented, ambitious and positive working attitude

EA Reg Number: R2094147

EA License Number: 22C1278

Life at Grab

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

With a vision to become the best mobile financial services platform for SEA people: to live, earn, and play - Grab Financial Group is one of the largest and fastest-growing fintech players in the region. Enabled with a relentless pursuit for excellence, we aim to deliver the smoothest and most relevant financial services across payments, lending, insurance, and investments in the region.

Get to know our Team:

• GFG Analytics team supports the GFG product and business org. Data Scientists (Analytics) are part of one or more tech families - Fin Core, Fin Experience, Fin Identity, Payments, Financial Services (Invest, Insure & Lending).
• We care about deeply understanding how users experience the Product and partner with Business, Product, Design, and Tech to focus on the right outcomes and feature set
• We remain integral to the product development process from understanding user journeys with UX designers to hypothesis development, right through to post rollout optimization

Get to know the Role:

• Use data to understand user needs - be the de-facto Voice of the Customer (users, driver-partners, merchants, agents, etc) for all GFG teams.
• Leverage data for further insights to launch and improve goods and services on GrabPay wallet and scale it to multiple financial services.
• Champion data-driven decision-making and culture in Grab Financial Group
• Partner with Product Managers, Business Owners, UX Designers, and Engineering to design and deliver analytical projects that help support the GFG Product roadmap
• Provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems

The day-to-day activities:

• Design, measure and recommend A/B tests and multivariate experiments on the platform, including, but not limited to layout optimization, UI/UX efficacy, contextualization, algorithm effectiveness, API effectiveness, etc.,
• Mine clickstream and transactional data to drive GFG product metrics through a deep understanding of user behavior i.e. consumers, driver-partners, merchants, etc.
• Implement, own and manage all instrumentation for all feature releases within the assigned tech families within GFG
• Produce segmented views of our customers, merchants for our business, and product stakeholders to drive product iterations and improvements
• Successfully provide reliable and on-time deliverables to meet individual stakeholder needs
• Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment

Qualifications

• Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, or other quantitative subjects
• 3+ years experience in Analytics, Business Intelligence or Data Science role, preferably in an Internet or E-Commerce company with large, complex, high-velocity data
• Advanced SQL writing skills and experience in querying large relational databases
• Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, et al.
• Ability to handle multiple priorities and solve ambiguous problems in a fast-paced environment
• Hands-on experience with data analysis/programming tools like R or Python and Data Visualization platforms like Tableau / PowerBI / D3.js, etc.,
• Experience with designing, running, and analyzing A/B tests and product experiments. Should also have an understanding of hypothesis testing and the basic principles of DoE

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

• Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
• Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
• Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
• Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
• Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
• Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.
• We’ve got many different benefits hyper localised in each country.

What we stand for at Grab:

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It’s not a box-ticking exercise; it’s who we are.

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know our Team:

Grab’s Fulfilment-Dispatch Data Science team works on challenging and fascinating problems surrounding Grab’s allocation capabilities — ensuring our passengers, driver-partners, consumers and merchants enjoy a reliable fulfilment experience.

Allocation is simply this question: “Given a new booking request, which driver-partner is the best match for this booking, accounting for all other pending bookings now, and all potential bookings and driver-partner movements in the future?” Efficiently solving this problem requires working on domains and techniques such as statistical/machine/deep-learning-based prediction, optimization, simulation, graph theory, offline and online learning of contextual parameters, and geospatial data mining. We apply these techniques on our high-volume high-velocity datasets to drive optimal business outcomes.

We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate. We are looking for candidates who are excited to work on challenging problems, who can apply their breadth and depth of knowledge to design innovative solutions, and who push boundaries in improving the growing suite of allocation-related services for our users.

Get to know the role:

• Design creative scalable allocation methods that adapt to changing market conditions
• Understand business needs, identify areas for investigation, translate them to technical problems to be solved
• Build, deploy and own production-grade models and services as they serve millions of requests every day
• Iterate on existing allocation features to drive continual improvement

The day-to-day activities:

• Research, analyze high-volume high-velocity data, build quick prototypes, and engineer them into production
• Design data pipelines and conduct experiments to measure the impact of your work
• Effectively communicate results and their implications to business/product stakeholders

The must haves:

• PhD or Master’s degree in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, Transportation Engineering, or related technical disciplines with 3+ years of DS work at a technology company; or equivalent experience
• Strong Machine Learning fundamentals:

1. Understanding of machine learning algorithms and their ecosystem (data, model persistence, tooling, development lifecycle)
2. Experience in developing production-grade ML systems including exploratory analysis, feature engineering, developing data pipelines, observability and maintenance etc.

• Strong aptitude in statistics and large-scale data analytics:

1. Understanding of probability and statistics (e.g. hypothesis testing, modeling distributions / regressions, Bayesian statistics etc)
2. Experienced in running live experiments (A/B tests, randomized controlled trials) and analyzing their results
3. Experienced with relational databases, SQL, and distributed computing frameworks (Spark, Kafka stream processing)

• Strong software development skills:

1. Proficient in Python. Skill in Golang, Scala or Rust is an advantage.
2. Familiar with Git-based source control, code reviews, test-driven development, cloud-based development (AWS/Azure)

• Self-motivated, independent learner, and willing to share knowledge with the team
• Detail-oriented and efficient time manager in a dynamic working environment
• Able to communicate well in English both verbally and in written communication, as well as convey data insights and results with effective visualizations.

Nice to have:

• Experience in working with geospatial/mobility/logistics data
• Experience in designing probabilistic models at scale in production
• Familiar with modern data pipeline and warehousing stacks (e.g. Hive, Pinot, Airflow, Presto/Trino etc)
• Expertise in any of these specialized domains: graph theory/processing, optimization of stochastic problems, agent-based simulation, adaptive control, reinforcement learning
• Experience with designing, deploying and maintaining microservices (e.g. on Docker / Kubernetes) to serve production models is a big plus

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

We are seeking an experienced and skilled Senior Data Analyst to join our dynamic team. You will play a crucial role in analysing and interpreting health data, providing actionable insights to support health policy planning.

Responsibilities

· Utilise statistical methods and analytics tools to analyse datasets related to public health, including health surveys, healthcare utilisation data, and epidemiological studies.

· Interpret and communicate findings to stakeholders, translating complex data into actionable data-driven insights for program and health policy planning, and public health interventions.

· Monitor databases to ensure the timeliness and accuracy of data.

· Work closely with cross-functional teams to foster creative problem-solving and address complex data analytics issues.

· Collaborate with interdisciplinary teams from both local and global health organisations and research institutions to conduct research studies.

Qualifications

· Possess extensive knowledge and experience in Statistics, Data Analytics, Data Science, Health Economics or disciplines with substantial quantitative content (e.g. regression, analytics, modelling).

· Work experience in public health, health statistics or epidemiology research environment is preferred.

· Proficient in statistical software (e.g., R, Python, SAS, Stata). Experience with data visualisation tools (e.g., Tableau) will be an added advantage.

· Experience in publishing relevant publications in peer-reviewed journals will be advantageous.

· Possess strong analytical and problem-solving skills. Highly driven with the ability to work in a fast-paced environment.

· Self-motivated and resourceful, takes initiative in one’s work.

Effective communication skills, and good interpersonal skills with the ability to work cross functionally.

Responsibilities

• Responsible for laying the foundations for the acquisition, storage, transformation, and management of data

• Advise project manager on data infrastructure needs while assisting with data-related technical issues

• Design, develop and modify relational and multidimensional database structures, relationships, data flows and data interfaces

• Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources

• Preparing plans for all ETL (Extract/Transformation/Load) procedures and architectures

• Prepare raw data in Data Mart into a consumable dataset for both technical and non-technical stakeholders

• Monitor data systems performance and implement optimization strategies

• Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources

• Monitoring and tune data loads and queries

• Validating results and create business reports

Requirements

• Bachelor's degree in computer science, or a related field

• Proven experience in Azure, MSSQL

• Advanced level in Structured Query Language (SQL) and relational databases

• Experience in database design and modeling for data warehouse and business intelligence applications, including relational database structures and normal forms

• 2+ Project experience with designing and building highly scalable Extract, Transform, and Load (ETL) processes and concepts

• Able to analyze existing SQL queries for performance improvements

• Analytical skills to monitor performance and identify problems with in the database

• Develop, implement and optimize stored procedures and functions using T-SQL and meet performance requirements

• Defining the detailed database design, including tables, indexes, views, constraints, triggers, stored procedures, and other database-specific constructs needed to store, retrieve, and delete persistent objects

• Detail-oriented and organized, with excellent time management skills

• A team player with strong interpersonal skills and the ability to collaborate effectively with diverse teams

• Ability to meet deadlines, and has self-management skills

• Positive attitude, pleasant and energetic personality, and service mindedness

• Conversational Korean is a plus

Please only apply via direct application on this MyCareersFuture website.

Or, email your CV and indicate Job Title as email subject to the following: [email protected]

Only shortlisted candidates will be notified.

Who Are We?

At HoYoverse, we are committed to creating immersive virtual world experiences for players around the world. In addition to game products such as Genshin Impact, Honkai Impact 3rd, Tears of Themis, and Honkai: Star Rail, HoYoverse also launched the dynamic desktop software N0va Desktop, the community product HoYoLAB, and created a variety of products such as animations, comics, music, novels, and merchandise around our original creative concept.

Adhering to our mission of Tech Otakus Save the World, we have always been committed to technology research and development, exploring cutting-edge technologies, and have accumulated leading technical capabilities in cartoon rendering, artificial intelligence, cloud gaming technology, and other fields.

HoYoverse is actively engaged in globalization, with offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas.

When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy. This policy provides detailed insights into how your information is collected, used, and protected throughout the application process.

What You Will Do:

• Responsible for analyzing and strategizing the supply and distribution of global brand content for gaming, expanding the international influence of gaming content, and contributing to the Daily Active Users (DAU) and revenue of gaming projects.
• Evaluate and analyze the effectiveness of gaming-related activities on global content platforms and provide insights and recommendations for improving the effectiveness of various marketing activities.
• Conduct specialized research based on channels, platforms, Key Opinion Leaders (KOLs), etc., and provide valuable insights to support product design, iteration, and release.
• Enhance brand content infrastructure, assist in building a data metric system, create regular summaries of daily data monitoring dashboards, and propose solutions and recommendations for anomalies.

What We Are Looking For:

• Passion for gaming with a good understanding of the global gaming market, ability to provide market hypotheses and validate them based on user feedback, and insight into market trends.
• Highly data-sensitive, with strong logical and structured thinking, self-driven, and excellent communication skills.
• More than 3 years of relevant work experience in data analysis, proficient in using data analysis and statistical tools such as SQL, Excel, Python, etc.

We are an equal opportunity employer that believes diverse backgrounds are key to bringing our concepts to life. If you're looking to play a key role in creating the best immersive virtual world experience for our users, we invite you to join our team.

• Position : Sales Manager (CCTV/Data Comm/UPS)
• Location : Near Bendemeer MRT
• Working hours : Monday - Friday, 9.00am - 6.00pm
• Salary(commensurate on experience) : Up to $6200 + AWS + VB + Transport reimbursement + Phone + 14 days Annual leave
• Duration : Permanent
• Industry : Manufacturer of Network Equipment

Main Responsibilities:

• Set and fulfill given sales targets that aligns with the overall business direction and brand consistency
• Ability to communicate and liaise with clients to resolve all sales enquiries
• Implement sales and marketing strategies for market penetration
• Conduct regular visits, trainings and meetings with distributor’s sales and technical team as well as channels/dealers
• Identify and approach potential clients, projects or new market to create new business opportunities
• Report on sales performance as well as necessary suggestion and implementations for improvement

Requirements:

• Local Polytechnic Diploma and/or Degree in Business Administration, IT or Engineering
• At least 2 years of sales experience in Tech/IT industry or related field
• Experience in B2B platform would be a major plus
• Clear understanding of market trends and current/potential competitors
• Bilingual in English, Mandarin or Malay to liaise with Mandarin and Malay speaking associates in view of business communications

Email to [email protected]

Do visit Search Personnel Pte Ltd for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

1-Net is fast transforming itself into Asia's Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. It's uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• Preferably with minimum 1 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location : 1-Net (East) at Chai Chee / 1-Net (North) Woodlands

NUHS Data Analytics & Insights (DAI) team under Group Care Plan Ops support and work in close partnership with NUHS senior management, Group Specialty Chiefs (GSCs), Management Decision Support (MDS) teams and other stakeholders to realise the delivery of One Specialty, Multiple Sites and a OneNUHS patient care philosophy. The DAI team develops innovative analytics solutions and derives actionable insights to support management decision making towards attainment of NUHS vision and key priorities.

This is a business analyst role where you will play a critical role in overseeing and driving the successful execution of data-related projects, and bridging the gap between complex healthcare data and actionable insights. You will collaborate with cross-functional teams, stakeholders, and data specialists to ensure project objectives are met, timelines are adhered to, and deliverables are of high quality. Your expertise in project management methodologies, data processes, and team coordination will contribute to the effective and efficient implementation of data initiatives that improve patient outcomes, operational efficiency, and organizational effectiveness. You will also be responsible for transforming raw data into meaningful information, collaborating with various stakeholders to ensure accurate and efficient data interpretation, analysis, and reporting.

Responsibilities

• Undertake project management responsibilities to oversee data-related initiatives and ensure they meet established timelines and deliverables.
• Drive the development of analytical solutions to generate actionable insights, supporting decision-making, planning, and resource allocation in alignment with NUHS priorities and goals.
• Facilitates collaboration among cross-functional teams, manages stakeholders and ensures the successful implementation of data initiatives that improve patient care, operational efficiency, and organizational effectiveness, in compliance with data privacy and security regulations
• Collaborate with data teams and stakeholders to extract, interpret, and creatively visualize data. Transform raw data into meaningful information, ensuring accuracy and efficiency in data interpretation, analysis, and reporting.
• Develop, maintain, and enhance interactive dashboards using tools like Tableau.
• To be well versed with and keep updated on Epic and other operational applications in order to propose solutions that will address group operations management and senior management needs on operational excellence.

Requirements

• Bachelor’s Degree in Computer Science, Information Management, Mathematics, Statistics, Operations Research, Engineering or equivalent work experience.
• At least 5 years of relevant working experience with analytics tools e.g. SQL, Python, MS Excel (advanced), data visualisation tools (e.g. Tableau)
• Excellent interpersonal skills, attention to detail, and flexibility to collaborate across various team areas and functions, and manage multiple priorities.
• Possess can-do attitude and work independently in ambiguous situations.
• Excellent leadership, communication, and stakeholder management skills.
• Strong analytical and problem-solving skills
• Proficient in extracting, cleansing, and interpreting complex data with attention to detail and accuracy.
• Able to communicate sophisticated data science concepts clearly through concise reports and presentations, effectively conveying observations and recommendations.
• Familiarity with healthcare setting is a plus.

Who Are We?

At HoYoverse, we are committed to creating immersive virtual world experiences for players around the world. In addition to game products such as Genshin Impact, Honkai Impact 3rd, Tears of Themis, and Honkai: Star Rail, HoYoverse also launched the dynamic desktop software N0va Desktop, the community product HoYoLAB, and created a variety of products such as animations, comics, music, novels, and merchandise around our original creative concept.

Adhering to our mission of Tech Otakus Save the World, we have always been committed to technology research and development, exploring cutting-edge technologies, and have accumulated leading technical capabilities in cartoon rendering, artificial intelligence, cloud gaming technology, and other fields.

HoYoverse is actively engaged in globalization, with offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas.

When you apply to a position with HoYoverse, we will process your personal data. To learn more about how we process your data, we encourage you to review our comprehensive Global Applicant and Candidate Privacy Policy. This policy provides detailed insights into how your information is collected, used, and protected throughout the application process.

What You Will Do:

• Be responsible for the operations work related to Genshin Impact;
• Play an important role by providing product analysis to help in decision making as well as to ensure the long-term operations of the product with your data ability;
• Establish and improve data monitoring and analyzing systems;
• Conduct product analysis through utilization of data analysis and mathematical modeling, offering comprehensive support for product design, operational analysis, content effect evaluation, and player behavior analysis, thus ensuring the superior quality and effectiveness of game content.

What You Will Need:

• Loyal game players, basic understanding of the gaming industry, familiar with various video games, especially mobile ones;
• Extensive gameplay experience with Genshin Impact is a plus;
• Proficiency in SQL and data analysis tools including Excel, SPSS, Python or SAS;
• Familiar with common data mining model (for example, clustering, regression, decision tree);
• Sensitive to data, possess a strong learning ability, strong logical and analytical capabilities, and project execution skills, and able to communicate with designers and developers.

We are an equal opportunity employer that believes diverse backgrounds are key to bringing our concepts to life. If you're looking to play a key role in creating the best immersive virtual world experience for our users, we invite you to join our team.