Data Science Manager I, AI/ML
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
As a Data Science Manager I for AI/ML at Google in Hyderabad, you will lead and mentor a Data Science pod in India, driving AI and machine learning initiatives for People Operations. You will translate business questions into technical solutions, oversee the development and deployment of AI/ML models, and communicate recommendations to executive leaders.
Responsibilities
- Hire, manage, and coach a Data Science pod based in India.
- Build community, promote a welcoming environment, and develop a performing team of data scientists.
- Provide technical expertise and knowledge of Machine Learning, Agent development lifecycle, statistical analysis, applied mathematics, and data science applications to review solution design, Python code, and guide technical architecture.
- Translate business questions into analysis, define data requirements, and develop project roadmaps for open-ended problems.
- Oversee development, deployment, and integration of Artificial Intelligence/Machine Learning (AI/ML) models, such as predictive models, Natural Language Processing (NLP) models, AI solutions and adverse impact analysis.
- Utilize executive communication to persuade executive leaders, align partner teams with engaging goals, and integrate workstreams across multiple People Operations initiatives.
Requirements
- Master's degree in a Statistics, Engineering, Sciences, or a related quantitative field, or equivalent practical experience.
- 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- 3 years of experience in people management within a technical leadership role.
- Experience with building and deploying machine learning models for business applications.
Desired Qualifications
- PhD in Computer Science, Statistics, Engineering, or a related quantitative field, or equivalent practical experience.
- 9 years of experience with using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Experience with leading, developing, and prioritizing work for an offshore pod across timezone.
- Experience in collaborating with executive leaders and driving cross-functional alignment, with excellent stakeholder management skills.
- Excellent technical and applied ML skills, with the ability to drive technical designs.
Benefits
- Equity is granted exclusively and discretionarily by Alphabet Inc.
#Data Science#AI#Machine Learning#Management#Leadership#Python#R#SQL#Analytics#Business Intelligence