Senior Data Scientist: Incrementality & MMM Specialist

Dale Workforce Solutions; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Dale Workforce Solutions seeks a Senior Data Scientist to join the Data Strategy & Analytics team. You will design and execute measurement solutions including incrementality tests, media mix models, and causal analyses, translating results into actionable recommendations.

Collaborate across Data Strategy, media, and client services to tackle complex measurement challenges, handling large marketing datasets and communicating findings and limitations to both technical and non-technical audiences.

Qualifications

• Master's degree in Statistics, Economics, Data Science, Computer Science, Engineering, or another quantitative discipline preferred or B.S. + 5 years of relevant experience.
• Strong programming skills in Python, R, & SQL.
• Hands-on experience designing and analyzing incrementality tests (geo holdouts, matched-market tests, synthetic controls, or randomized experiments).
• Hands-on experience building, validating, and interpreting media mix models.
• Deep understanding of statistical modeling, causal inference, experimental design, and time-series methods.
• Ability to evaluate methodological tradeoffs and select approaches based on data and business needs.
• Ability to work independently on ambiguous problems while collaborating with cross-functional teams.

Responsibilities

• Partner with Data Strategy, media, and client teams to translate business questions into testable measurement plans.
• Design and analyze incrementality tests, including geo-based experiments and other causal approaches.
• Build, validate, and interpret media mix models to estimate channel contribution and efficiency.
• Develop measurement approaches for upper-funnel and brand media and link to lower-funnel outcomes.
• Conduct power analyses, feasibility assessments, sensitivity analyses, and model diagnostics.
• Work with large multi-source datasets, identify data quality issues and measurement gaps.
• Turn analytical findings into practical recommendations for media planning and testing strategies.
• Apply advanced analytics methods like predictive and propensity modeling to broader client questions.
• Mentor junior data scientists and contribute to shared measurement standards and best practices.

Skills

Incrementality testing

MMM (Media Mix Modeling)

Causal inference

Statistical modeling

Experimental design

Time-series methods

Independent work

Education

Master's or PhD in Statistics, Economics, Data Science, CS, Engineering, or related quantitative field

Tools

Python

R

SQL

PyMC

Job description

Dale Workforce Solutions seeks a Senior Data Scientist to join the Data Strategy & Analytics team. You will design and execute measurement solutions including incrementality tests, media mix models, and causal analyses, translating results into actionable recommendations.

Collaborate across Data Strategy, media, and client services to tackle complex measurement challenges, handling large marketing datasets and communicating findings and limitations to both technical and non-technical audiences.