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Director, Data Science & Machine Learning

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Gravity Engineering Services Pvt Ltd.
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

About the Role

As Director, Data Science & Machine Learning, you will lead a talented team of scientists in defining and building innovative products to unlock the next generation of education. This team is responsible for ideating, prototyping, and product ionizing the machine learning algorithms that power the product and the business, including search, recommendations, automated nudges and learning interventions, and instructor-facing features to support learners at scale.

In this role, you will own the vision, strategy, and roadmap for machine learning  ideal candidate is an innovative and impact-oriented builder with a strong computational and statistical skill set, exceptional leadership and management skills, and a passion for education. We believe the next generation of education is personalized, accessible, and efficient -- reaching a world of learners who need it --, and that with our data, technology, and talent we are best positioned to make that vision a reality.

Your

responsibilities:
  • Set the vision for machine learning and data products at Coursera
  • Attract, develop, and retain a world-class team of data scientists, including providing deep technical guidance
  • Collaborate with product management, engineering, and business leaders in defining and executing on the data product roadmap
  • Be a thought-leader internally and externally on how data is transforming education
Your skills:
  • 6+ years experience building data-powered products
  • 3+ years leading high-performing teams of data scientists, research scientists, and/or machine learning engineers
  • Strong applied skills in machine learning
    , programming
    , and statistics
  • Excellent communicator and cross-functional collaborator
  • Passion for improving access to high-quality education
  • Ph.D. in computer science, applied math, statistics, or related technical field
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Position Requirements
5+ Years work experience
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