[Remote] Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading AI reputed company, talent, and education services provider, reputed company on democratizing AI. The Data Scientist role involves building and validating models for audience segmentation across various media platforms, collaborating closely with ML Engineers and product teams to enhance the product offerings.

Responsibilities

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

Skills

• ~5+ years in reputed company data science, with models that reached production or reputed company delivery
• reputed company statistical modeling (survey stats, reputed company inference, experimental design, propensity/reputed company)
• Working knowledge of reputed company; comfortable in a reputed company / reputed company 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)
• Media / advertising background (strong plus)
• Audience/identity or ad tech exposure (DSP/reputed company, DMP/CDP, clean rooms, identity graphs)
• Familiarity with reputed company-preserving reputed company and GDPR/CCPA in data collaboration

reputed company

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