6 дней назад
Senior Data Scientist
141 000 - 165 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Marketing Measurement): Designing rigorous incrementality tests, media mix models, and causal analyses to measure the impact of marketing investments with an accent on upper-funnel media, imperfect multi-source datasets, and actionable client recommendations. Focus on building statistically credible experiments, validating models, evaluating methodological tradeoffs, and mentoring data scientists.
Location: Remote within most US states, with some exclusions. Office hubs are available in Los Angeles, Chicago, and New York for in-person collaboration and events. Not eligible for immigration sponsorship.
Salary: $141,000–$165,000 annual salary, plus benefits.
Company
is a digital marketing agency helping clients measure and optimize the impact of their marketing investments.
What you will do
- Translate business questions into clear, testable measurement plans with Data Strategy, media, client service, and analytics teams.
- Design and analyze incrementality tests, including geo experiments, holdouts, matched-market tests, synthetic controls, and randomized experiments.
- 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 across CTV, video, audio, OOH, paid social, and other channels.
- Analyze large, multi-source marketing datasets, conduct power and sensitivity analyses, and perform model diagnostics.
- Turn findings into recommendations for media planning and optimization while mentoring junior and on-level data scientists.
Requirements
- Master’s degree in Statistics, Economics, Data Science, Computer Science, Engineering, or another quantitative discipline, or a bachelor’s degree plus five years of relevant experience.
- Strong programming skills in Python, R, and SQL.
- Hands-on experience designing and analyzing incrementality tests and 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, challenge assumptions, and select appropriate approaches for available data and business decisions.
- Ability to work independently on ambiguous problems and collaborate with cross-functional teams.
Nice to have
- Experience with Bayesian modeling frameworks such as PyMC.
- Experience calibrating or validating media mix models with incrementality tests.
- Experience with brand measurement, awareness studies, retail or offline sales data, or multi-outcome and funnel modeling.
Culture & Benefits
- Remote-first culture with flexible schedules and work-from-anywhere options.
- Unlimited paid time off and an extended winter holiday break.
- 100% paid parental leave.
- 401(k) matching and paid medical, dental, vision, life, and pet insurance.
- Short-term disability insurance, additional voluntary insurance, and annual Class Pass credits.
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