Data Scientist

Job Title

About the role 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.

What you'll do

• Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data.
• Develop propensity and lookalike models that scale small seed audiences to addressable populations.
• Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias.
• Ideate on making the product better: propose new audiences, features, and methods, and prioritize them with the US team.
• Own audience measurement analytics: reach, overlap, index strength, and incremental lift (A/B, matched control, causal inference).
• Partner with ML Engineering to move models into reproducible, monitored production, under privacy-by-design principles.

Must have

• ~5+ years in applied data science, with models that reached production or client delivery.
• Sound statistical modeling (survey stats, causal inference, experimental design, propensity/uplift).
• Working knowledge of Databricks; comfortable in a Spark / Snowflake environment.
• Strong Python (pandas, scikit-learn, statsmodels) and SQL against large databases.
• Degree in a quantitative field (Statistics, Data Science, Economics, CS, Math, or similar).

Nice to have

• Media / advertising background (strong plus).
• Audience/identity or ad tech exposure (DSP/SSP, DMP/CDP, clean rooms, identity graphs).
• Familiarity with privacy-preserving methods and GDPR/CCPA in data collaboration.

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.