Data Scientist

Only W2, No C2C - Onsite

Job Description:

We are seeking a Data Scientist with a strong background in marketing measurement, causal inference, and experimentation who has deep passion for building data-driven products, ability to formulate data insights and scientific vision, and a proven track record of executing complex projects and delivering business impact.

Key Job Responsibilities:

• Marketing Measurement: Develop and enhance Marketing Mix Models (MMM) to measure channel effectiveness, optimize budget allocation, and quantify ROI across marketing investments.
• Customer Lifetime Value (CLV): Build and refine CLV models to inform acquisition targeting, retention strategies, and customer segment prioritization.
• Causal Inference & Experimentation: Design, execute, and analyze A/B tests and quasi-experiments (e.g., geo holdouts, difference-in-differences, synthetic controls) to measure incremental lift of marketing campaigns.
• Campaign Optimization: Partner with marketing teams to translate measurement insights into actionable recommendations for targeting, creative, and channel mix.
• Cross-functional Collaboration: Work with data scientists, machine learning engineers, and business stakeholders to deliver measurement solutions to production.

Basic Qualifications:

• PhD, or Master''s degree and 4 years of experience in CS, CE, ML, Statistics, Economics, or related field
• 3 years of experience building machine learning models or developing algorithms for business application
• Experience with causal inference methods (e.g., A/B testing, difference-in-differences, instrumental variables, propensity scoring, synthetic controls)
• Familiarity with cloud computation (e.g., AWS tools such as S3, SageMaker, EMR, or EC2)
• Experience programming in Python, R, or related language

Preferred Qualifications:

• PhD in Statistics, Economics, Computer Science, Machine Learning, Operations Research, or equivalent quantitative field
• 5 years of experience building marketing measurement models (MMM, CLV, multi-touch attribution)
• Experience designing and analyzing A/B tests and geo experiments at scale
• Experience in patents or publications at top-tier peer-reviewed conferences or journals (e.g., KDD, ICML, NeurIPS, QME, Marketing Science)
• Excellent oral and written communication skills, with the ability to communicate complex technical concepts to all levels of the organization