Total 2 science job vacancies in d05 clementi new town hong leong garden pasir panjang

Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.

Job description

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

Additional job description

The APAC Platforms and Growth team is on a mission to connect users to the magic of YouTube, full-funnel lifecycle programs across owned and operating marketing inventory to drive awareness, acquisition, retention, and engagement channels of core product offerings. The role of the Platforms function is to build the channels, tools and operations, working with the Growth team who drive deep end-to-end acquisition and retention for our most strategically important product areas.

Qualifications

Job responsibilities

• Design and develop regional performance scorecards and reports to monitor key on-platform metrics and trends across priorities business areas.
• Analyze user behavior on our platform by conducting in-depth analysis of user interactions across key areas of the business to identify opportunities for improvement.
• Collaborate in quarterly planning and forecasting, providing data-driven recommendations to prioritize campaigns and optimize finite inventory and impression caps.
• Monitor and analyze campaign performance across initiative teams; providing actionable recommendations to stakeholders to optimize inventory.
• Design and implement new dashboards and BI tooling, empowering marketers to self-serve various cuts of data for informed decision-making. Collaborate with stakeholders to understand data requirements and provide ongoing support and training.

Minimum qualifications

• Bachelor's degree in a research or quantitative field (e.g., Social Sciences, Statistics, Mathematics, Bioinformatics, Economics, etc.) or equivalent practical experience.
• Experience designing, scoping, executing, and delivering research and analysis projects.
• Experience managing research and measurement agencies.
• Experience translating research findings and insights into marketing recommendations.
• Experience with SQL techniques or exposure to data modeling or machine learning concepts, scripting, or data dashboard.

Preferred qualifications

• Experience with qualitative research methods and approaches, designing experiments, analyzing data from experiments and summarizing findings.
• Passion for the web video/YouTube ecosystem and digital culture or experience in eCommerce or subscription business.
• Familiarity with data pipeline tools, data warehousing, or infrastructure processes.