Data Scientist

Seattle, WA, US • Posted 12 days ago • Updated 12 days ago
Contract W2
Contract Corp To Corp
1 Year
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • DATA SCIENTIST
  • MACHINE LEARNING
  • AWS
  • PYTHON

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10115258
  • Position Id: 26-01057
  • Posted 12 days ago
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