Vacancy description
Fusemachines
India, Pune
Data Scientist - Python/ SQL- Fully Remote in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
Fusemachines is a leading AI strategy, talent, and education services provider. Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients' AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Type: Remote, Full-time
You will build and validate the models that define, expand, and score the audiences advertisers activate across TV, CTV, digital, social, and programmatic. Working across survey, purchase, and cross-platform media data, you turn messy multi-source signals into accurate, explainable, privacy-safe segments, and you help shape the product itself with ideas for new audience capabilities. You will partner closely with ML Engineers and the US product and analytics team.
Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data
Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias
Partner with ML Engineering to move models into reproducible, monitored production, under privacy-by-design principles
5+ years in applied data science, with models that reached production or client delivery
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