
Lead Data Scientist (US Healthcare)
2coms · Remote, IndiaRemote · Lead

Senior Machine Learning Engineer
Quantiphi · Mumbai, India+2 moreSenior

Data Scientist II, Analytics Engine Optimization
通用磨坊股份有限公司 · Powai, India+1 moreMid
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2coms · Posted Feb 21, 2023
- Remote, India
- Remote
- Lead
- 6+ years
Lead data science strategy and initiatives to support the product roadmap for B2B SaaS products powered by AI/ML in healthcare and CPG.
- Own the data science strategy and initiatives to support the product roadmap.
- Promote a culture of creative thinking to solve some of the age-old complex business problems.
- Leverage traditional statistical and mathematical modelling with new age AI/ML techniques.
- Convert black box AI models into explainable models using xAI.
- Work with a group of smart engineers and data scientists to deliver on the promise.
- Master’s degree in machine learning
- Master’s degree in mathematics
- Master’s degree in computer science
- Master’s degree in statistics/economics
- Master’s degree in related fields

Quantiphi · Posted Nov 6, 2026
- Mumbai, Maharashtra, India +2 more
- Senior
- 4–6 years
Senior Machine Learning Engineer
- Mumbai, Maharashtra, India
- Bangalore, Karnataka, India
- Trivandrum, Kerala, India
- Hands‑on with Python and machine learning tools
- Computer Vision tasks such as image preprocessing, matching, detection, similarity, classification
- Feature engineering and model tuning
- Deploying ML pipelines and monitoring performance
- Collaborating with stakeholders and IT teams

通用磨坊股份有限公司 · Posted Nov 5, 2026
- Powai, Maharashtra, India +1 more
- Mid
Data Scientist II focused on analytics engine optimization for digital marketing measurement and investment across General Mills’ global portfolio.
- Powai, Maharashtra, India
- Minneapolis, Minnesota, United States
- Partner with marketing and business stakeholders to define analytical problems and success criteria
- Develop and implement data-driven solutions using advanced analytics and machine learning to measure marketing effectiveness
- Build, validate, and maintain causal inference pipelines and measurement strategies such as Marketing Mix Models
- Create statistical and machine learning models to quantify campaign impact
- Build statistical model-based Omni-channel marketing solutions to optimize investment
- Bachelor’s Degree in Statistics, Mathematics, Operations Research, Physics, or related quantitative discipline
Nice to have: Master’s Degree in a quantitative fieldNice to have: Experience within a marketing analytics agencyNice to have: Experience in a large, matrixed organization