Senior Data Scientist

The Role

We are looking for a Senior Data Scientist to join our Data Strategy & Analytics team and help clients understand the incremental impact of their marketing investments. In this role, you will design and execute rigorous measurement solutions, including incrementality tests, media mix models, and causal analysis. and translate the results into clear, actionable recommendations.

You will partner with Data Strategy, media, client service, and analytics teams to solve complex measurement challenges across channels and funnel stages. You will work directly with large, imperfect marketing datasets, select the right methodology for each business question, and communicate both the findings and their limitations to technical and non-technical audiences.

The ideal candidate has hands-on experience with incrementality testing and media mix modeling, along with a strong understanding of digital and upper-funnel media measurement. You should be comfortable evaluating channels such as CTV, video, audio, OOH, paid social, and other brand investments where last-touch attribution is incomplete. You will also help strengthen our measurement approaches and guide junior & on-level data scientists in sound experimental and modeling practices.

At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.

We offer:

-Remote-first culture

-Unlimited PTO

-Extended Holiday break (Winter)

-Flexible schedules

-Work from anywhere options*

-100% paid parental leave

-401(k) matching

-Medical, Dental, Vision, Life, Pet Insurance

-Sponsored life insurance

-Short Term Disability insurance and additional voluntary insurance

-Annual Class Pass credits and more!

The anticipated annual salary for this role will range from $141,000- $165,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. At Wpromote, pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget. The total compensation package for this role will include benefits (listed above).

*This position may be performed remotely in most states within the US, with some exclusions

**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!

***This position is not eligible for immigration sponsorship

Important Notice: Beware of Job Scams

Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.

You Will Be

• Partnering with Data Strategy, media, and client teams to translate business questions into clear, testable measurement plans

• Designing and analyzing incrementality tests, including geo-based experiments, holdouts, matched-market tests, and other causal inference approaches

• Building, validating, and interpreting media mix models to estimate channel contribution, efficiency, saturation, and diminishing returns

• Developing measurement approaches for upper-funnel and brand media, including its direct impact and influence on lower-funnel outcomes

• Conducting power analyses, test feasibility assessments, sensitivity analyses, and model diagnostics to ensure findings are statistically credible

• Working with large, multi-source marketing datasets; identifying data quality issues, measurement gaps, and implications for analysis

• Turning analytical findings into practical recommendations for media planning, optimization, and future testing

• Applying complementary advanced analytics methods - including predictive modeling, propensity modeling, segmentation, and forecasting - to solve broader client and media strategy questions

• Guiding and mentoring junior data scientists and contributing to shared measurement standards, code, and best practices

You Must Have

• Education: 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, such as geo holdouts, matched-market tests, synthetic controls or holdouts, or randomized experiments

• Hands-on experience building, validating, and interpreting media mix models

• A deep understanding of statistical modeling, causal inference, experimental design, and time-series methods

• Ability to evaluate methodological tradeoffs, challenge weak assumptions, and select approaches appropriate to the available data and business decision

• Ability to work independently on ambiguous problems while collaborating closely with cross-functional teams

Nice to Have

• Experience with Bayesian modeling frameworks such as PyMC or similar tools

• Experience calibrating or validating MMM results with incrementality tests, or integrating multiple measurement methods into a unified recommendation

• Experience with brand measurement, awareness studies, retail or offline sales data, or multi-outcome/funnel modeling