Senior Data Scientist

Wpromote; United States; Remote; USD 141,000 - 165,000; Full time

Benefits offered by this job

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 Ins

Sponsored life insurance

Short Term Disability insurance and追加

Annual Class Pass credits

Job summary

Wpromote is seeking a Senior Data Scientist to join the Data Strategy & Analytics team to design and execute rigorous measurement solutions, including incrementality tests and media mix models. You will partner with cross-functional teams to translate business questions into actionable measurement plans and communicate results with stakeholders.

The role involves working with large marketing datasets, evaluating channels like CTV, video, and paid social, and guiding junior data scientists in

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, and 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

Responsibilities

• Partner with Data Strategy, media, and client teams to translate business questions into clear, testable measurement plans
• Design and analyze incrementality tests, including geo-based experiments, holdouts, matched‑market tests, and other causal inference approaches
• Build, validate, and interpret media mix models to estimate channel contribution, efficiency, saturation, and diminishing returns
• Develop measurement approaches for upper‑funnel and brand media, including its direct impact and influence on lower‑funnel outcomes
• Conduct power analyses, test feasibility assessments, sensitivity analyses, and model diagnostics to ensure findings are statistically credible
• Work with large, multi‑source marketing datasets; identify data quality issues, measurement gaps, and implications for analysis
• Turn analytical findings into practical recommendations for media planning, optimization, and future testing
• Apply complementary advanced analytics methods - including predictive modeling, propensity modeling, segmentation, and forecasting
• Guide and mentor junior data scientists and contribute to shared measurement standards, code, and best practices

Skills

Python

R

SQL

Incrementality testing

Media Mix Modeling

Causal inference

Time-series analysis

Statistical modeling

Experiment design

Education

Master’s degree in Statistics, Economics, Data Science, Computer Science, Engineering, or another quantitative discipline preferred

B.S. + 5 years of relevant experience

Tools

PyMC

Job description

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

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

Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.