✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Xiaomi Corporation was founded in April 2010 and listed on the Main Board of the Hong Kong Stock Exchange on July 9, 2018. Xiaomi is a consumer electronics and smart manufacturing company with smartphones and smart hardware connected by an IoT platform at its core.

Embracing our vision of “Make friends with users and be the coolest company in the users’ hearts”, Xiaomi continuously pursues innovations, high-quality user experience and operational efficiency. The company relentlessly builds amazing products with honest prices to let everyone in the world enjoy a better life through innovative technology.

Xiaomi is one of the world's leading smartphone companies. The company’s market share in terms of smartphone shipments ranked no. 2 globally in the second quarter of 2021. The company has also established the world’s leading consumer AIoT (AI+IoT) platform, with 374.5 million smart devices connected to its platform (excluding smartphones and laptops) as of 31 March 31, 2021, excluding smartphones and laptops. Xiaomi products are present in more than 100 countries and regions around the world.

Job Description

Key Responsibilities:

1. Construction of data warehouses, development and maintenance of data services for Xiaomi's overseas Internet business.
2. Design a reasonable multidimensional data analysis system architecture for massive data processing and query needs, adaptable to changes in business, to meet a variety of requirements.
3. Clean and process massive logs, and abstract reusable data models for multiple businesses.

Job Requirements

1. Bachelor’s degree or above in a computer-related field.
2. Familiar with common relational and non-relational databases, distributed storage, and capable of selecting appropriate storage components based on requirements.
3. Knowledge of big data processing frameworks such as Spark and Flink, and preference for those who understand the concept of streaming processing.
4. Possess good problem analysis and solving skills, strong learning ability, and logical thinking.

BIPO Service (Singapore) Pte. Ltd.

EA License No. : 18S9180

DATA ENGINEER

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization systems.
• Perform data extraction, cleaning, transformation, and flow, including web scraping.
• Design, build, launch, and maintain efficient and reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and collate data silos in a scalable and compliant manner.
• Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, UX Designers, and Data Analyst to build scalable data-driven products.
• Develop backend APIs and work on databases to support applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Participate in pair programming and code review processes with fellow developers.

Experience and Skills Needed:

• Proficient in general data cleaning and transformation (e.g., SQL, pandas, R, etc.).
• Experienced in building ETL pipelines (e.g., SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
• Proficient in database design and various databases (e.g., SQL, PostgreSQL, AWS S3, Athena, MongoDB, Postgres/GIS, MySQL, SQLite, VoltDB, Cassandra, etc.).
• Experience with cloud technologies (e.g., AWS, Azure, Google Cloud Platform).
• Passionate about data engineering in a big data environment using cloud platforms.
• Experience with building production-grade data pipelines, ETL/ELT data integration.
• Knowledge in system design, data structures, and algorithms.
• Familiar with data modeling, data access, and data storage infrastructure (Data Mart, Data Lake, Data Virtualization, Data Warehouse).
• Understanding of REST APIs and web requests/protocols in general.
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka, RabbitMQ).
• Comfortable with W3C Document Object Model and customized web scraping (e.g., BeautifulSoup, CasperJS, PhantomJS, Selenium, Node.js, etc.).
• Comfortable in at least one scripting language (e.g., SQL, Python).
• Experience in both Windows and Linux development environments.
• Interest in being the bridge between engineering and analytics.

4o mini

As a Data Scientist in Group Engineering, you'll have the opportunity to drive business growth and innovation through data-driven insights and solutions. You'll work closely with senior stakeholders to identify and prioritize business problems, develop and deploy AI and machine learning models, and drive adoption across the organization. With OCBC's commitment to digital transformation, you'll be at the forefront of shaping the bank's data science capabilities and contributing to the development of a future-ready organization.

How you succeed

To succeed in this role, you'll need to combine technical expertise with business acumen and strategic thinking. You'll work closely with cross-functional teams to understand business needs, identify opportunities for data-driven innovation, and develop solutions that drive tangible business outcomes. You'll need to be able to communicate complex technical concepts to non-technical stakeholders, influence business decisions, and drive adoption of data science solutions across the organization.

What you do

• Develop and deploy AI and machine learning models to drive business growth and innovation
• Collaborate with senior stakeholders to identify and prioritize business problems and develop data-driven solutions
• Lead cross-functional teams to design and implement data science solutions that drive tangible business outcomes
• Develop and maintain large-scale data pipelines and architectures to support data science solutions
• Communicate complex technical concepts to non-technical stakeholders and influence business decisions
• Drive adoption of data science solutions across the organization and measure impact on business outcomes

Who you work with

Group Engineering is a strategic partner to teams across the bank, co-creating products and solutions that drive business growth and innovation. As a Data Scientist in Group Engineering, you'll work closely with senior stakeholders across the organization, including business leaders, product managers, and technology teams.

Who you are

• A seasoned data scientist with 8+ years of experience in developing and deploying AI and machine learning models
• A strong technical background in computer science, statistics, or a related field
• Experience leading cross-functional teams and influencing business decisions
• Excellent communication and stakeholder management skills
• Ability to work in a fast-paced environment and drive multiple projects simultaneously
• Strong business acumen and strategic thinking

Join Our Dynamic Data Science and Research Team

Are you passionate about transforming healthcare with cutting-edge AI and research methodologies? Our Data Science and Health Services Research (HSR) team is at the forefront of care transformation, working collaboratively with clinical leads to enhance patient outcomes and community well-being.

Why Join Us?

1. Purpose-Driven Work: Be part of impactful projects that integrate AI tools and advanced analytics to revolutionize care delivery.

2. Team Culture and Collaboration: Thrive in a team that values teamwork, mutual trust, and dynamic collaboration, supported by a strong focus on well-being.

3. Commitment to Learning: Benefit from continuous learning opportunities, mentorship, and capacity-building programs to advance your career.

4. Vision for the Future: Join a team that is committed to:

• Driving healthcare innovation through research and evidence-based practice.
• Expanding internal capabilities and expertise.
• Building and nurturing relationships across diverse disciplines.

Key Responsibilities:

• Design and develop integration pipelines for clinical data, chatbot data, and patient-reported outcomes.
• Develop and refine AWS chatbot functionality and maintenance.
• Ability to resolve the technical issues independently or escalate to next level for support
• Collaborate with clinical leads to identify gaps, and areas for improvement in AI tool developments
• Lead AI project design, including system and study design, as well as AI project evaluations and ROI
• Present findings, updates, and recommendations to senior management and committees
• Write-up coding and SOP independently and collaborate with team members to validate and improve the technical solution

What We’re Looking For:

• Qualifications: PhD/master/degree in Computer Science, Engineering, or a related field.
• Experience: 2–3 years of relevant work experience in AI development or data engineering.
• Expertise in AWS or RAG (Retrieval-Augmented Generation) tools.
• Proficient in SQL and familiar with the use SQL Server.
• Familiar with the use, design, and implementation of RESTful APIs.
• Familiar with Python libraries such as Django, Dash, Plotly and with building web-based data visualisation applications.
• Familiar with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Plotly and other machine learning libraries.
• Familiar with the use of Docker, Kubernetes and with performing container deployments.
• Proficiency in system integration and clinical AI design.
• Strong project management and interpersonal skills.
• A self-driven attitude with a passion for solving complex challenges and advancing healthcare innovation.

Join Our Dynamic Data Science and Research Team

Are you passionate about transforming healthcare with cutting-edge AI and research methodologies? Our Data Science and Health Services Research (HSR) team is at the forefront of care transformation, working collaboratively with clinical leads to enhance patient outcomes and community well-being.

Why Join Us?

1. Purpose-Driven Work: Be part of impactful projects that integrate AI tools and advanced analytics to revolutionize care delivery.

2. Team Culture and Collaboration: Thrive in a team that values teamwork, mutual trust, and dynamic collaboration, supported by a strong focus on well-being.

3. Commitment to Learning: Benefit from continuous learning opportunities, mentorship, and capacity-building programs to advance your career.

4. Vision for the Future: Join a team that is committed to:

• Driving healthcare innovation through research and evidence-based practice.
• Expanding internal capabilities and expertise.
• Building and nurturing relationships across diverse disciplines.

Key Responsibilities:

• Support the development of AI tools within the Electronic Medical Records (EMR), including validating feasibility in clinical settings.
• Collaborate with clinical leads to evaluate programs, identifying predictive factors and areas for improvement.
• Design and lead program evaluations, including cost-effectiveness analysis and study design.
• Conduct literature reviews to support evidence-based practices.
• Perform data analysis using tools such as Python, R, Tableau, AWS and other statistical software.
• Prepare and present comprehensive reports and insights to management and stakeholders.
• Work in multidisciplinary teams to drive improvements in clinical outcomes and patient satisfaction.

What We’re Looking For:

• Qualifications: A degree in Statistics, Business Analytics, Health Economics, Public Health, or a related field.
• Experience: 2–3 years in a relevant field with a strong grasp of quantitative and qualitative methods.
• Proficiency in analytics tools like Python, R, Tableau, AWS and other statistical software.
• Familiar with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Plotly.
• Excellent project management and organizational abilities.
• Strong communication skills and a proactive mindset.
• Passion for problem-solving and intellectual curiosity.
• Ability to adapt to new challenges and embrace innovation.

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

Are you driven by the desire to see your hard work directly impact others? Join the DNDTS team, where we excel in crafting success stories through dynamic projects. Each endeavor is a unique opportunity to contribute to our proven track record of achievements.

Experience the satisfaction of seeing your efforts transform into positive changes in people's lives. In our thriving SME environment, you won't be limited to a single role. You'll have the chance to engage in cross-departmental collaboration, fostering a rich learning experience.

As our team consistently grows, so do opportunities for career advancement. We embrace the startup culture by having a casual working attire and a flat hierachy across deparments. Your journey with us goes beyond a job—it's a chance to make a lasting impact while expanding your skill set. Join DNDTS and become a key player in our success story.

About the Company

Our company specializes in electronic products. We believe in the power of data to guide and refine our business strategies, including marketing, new business development, and overall operations. We are looking for a data analyst to help us unlock the potential of data and optimize our business for continued growth and success.

Roles & Responsibilities

As a Data Analyst, you will be responsible for gathering, analyzing, and leveraging data to inform decision-making and enhance our supply chain, sales channels, and overall business processes. You will collaborate with various departments to identify trends, improve efficiency, and maximize profitability.

Key Responsibilities

• Collect and analyze market data using our proprietary tool to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.

• Utilize our data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.

• Perform process analysis to pinpoint inefficiencies or bottlenecks and implement business process improvements for maximum profit.

• Conduct cost-benefit analyses to determine the optimal allocation of resources, investments in equipment, staffing decisions, or procurement strategies.

Qualifications / Requirements

• Bachelor's degree in Computer Science, Business Analytics, or a related field.

• Proficiency in common data analysis programming languages, libraries, and tools (e.g., Python, R, SQL, Pandas, NumPy).

• Solid data analysis and visualization skills, with experience in tools such as Tableau, Power BI, or similar platforms.

• Excellent communication skills, with proficiency in English.

• Ability to work independently and collaboratively with cross-functional teams.

• Strong problem-solving skills and a results-oriented mindset.

Benefits

• Flexible working hours

• Yearly Bonus

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

• Working Location: East - Airline House - Next to Singapore Airlines HQ

Please ensure you meet the minimum qualifications before applying. We regret to inform that only shortlisted candidates will be notified. If you are a data analyst with a passion for using data to optimize operations and drive growth within the electronics industry, apply now to join our innovative company and embark on a rewarding career journey.

Responsibilities

• Build robust and scalable Enterprise Data Platform for batch/real-time data processing and

machine learning model

• Develop data processing pipelines for ingestion, modelling, analysis mining and reporting with

SQL, Spark Python, and etc.

• Solve technical challenges posted to the Enterprise Data Platform from huge volume and velocity

and business compliexity

• Collaborate with CapitaLand's infrastructure, Business Analyst and Data Science team for data

engineering support and development/deployment of machine learning models

• Support data management projects when needed and perform additional data related tasks

• Any other ad-hoc duties as assigned by supervisor

Requirements

• Bachelor's degree in Computer science or related program

• Experience in data warehouse, data application or business intelligence product development

• Solid Programming skills in Java, Scala, Python, Hadoop and Spark.

• Hands-on experience in dashboard development with PowerBI

• Good to have knowledge on Microsoft stack of analytics products (SQL Server, Azure Data Factory,

Azure Databricks, Azure Data Warehouse, Power BI)

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Job description:

• Client currently has several ongoing projects on the Azure platform, including Finance, Commercials, and Operations. This role requires a support engineer primarily focused on existing projects and understanding the team's dynamics.
• The role requires someone capable of directly addressing system issues and resolving them.
• Users report issues, such as error messages and screenshots etc. The data engineer needs to log into the production system, trace processes end-to-end, identify the root cause, and resolve the problem.
• The engineer is expected to verify the accuracy of data and processes, ensuring correct numbers and outputs.)Operations

Requirements:

• At least (2) years of hands-on experience as Azure Data Engineer using:

- Azure Data Factory - Azure Synapse Analytics / Data Warehouse Preferably with relevant certifications from Microsoft including Azure Data

• Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate
• At least (2) years of hands-on experience in

- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing

- Implementing Data Quality validation

• At least (2) years of hands-on experience in

- Providing technical support (80%) & enhancements (20%) for existing applications in Azure

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.