resu·mail

Data Science Manager, AI/ML

at Google

India Manager Posted 2026-04-21

Don't apply into the void — reach the hiring manager

ResuMail finds the recruiters and hiring managers behind this Data Science Manager, AI/ML role at Google, drafts a personalised outreach email, and schedules the send — so your application actually gets seen.

Reach the hiring manager ›

About this role

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. Minimum qualifications: Master's degree in a Statistics, Engineering, Sciences, or a related quantitative field, or equivalent practical experience. 7 years of experience with using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 3 years of experience as a people manager within a technical leadership role. Experience with building and deploying machine learning models for business applications. Preferred 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 in collaborating with executive leaders and driving cross-functional alignment, with excellent stakeholder management skills. Experience with leading, developing, and prioritizing work for an offshore pod across timezone. Excellent technical and applied ML skills, with the ability to drive technical designs.

How to get this job at Google

  1. Don't rely on the portal. Cold applications for a role like Data Science Manager, AI/ML land in a pile of hundreds. A direct, personalised message to the hiring manager or a referrer is the fastest way in.
  2. Find the right person. ResuMail surfaces the actual recruiters and hiring managers at Google — not a generic careers inbox.
  3. Send tailored outreach. ResuMail drafts an email personalised to your resume and this role, then paces and schedules sends so you stay out of spam.
  4. Follow up. One polite nudge after 5–7 days roughly doubles reply rates — scheduled for you.

Reach Google's hiring managers today.

Free to start. No credit card. Built for Indian job seekers.

Start free with ResuMail ›