5 часов назад
Senior Data Scientist - Marketing (AI)
172 550 - 203 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist - Marketing (AI) (Marketing Data Science): Building marketing decision systems, measurement foundations, and analytical products to optimize spend, channel performance, and revenue impact with an accent on causal inference, experimentation, forecasting, and optimization. Focus on designing recommendation engines, scenario planning tools, and AI-assisted workflows that turn complex marketing data into operational and strategic decisions.
Location: Remote - United States. Candidates residing in Alaska, Delaware, Iowa, Mississippi, Nebraska, South Dakota, West Virginia, or Wisconsin are not considered.
Salary: $147,900–$174,000, $158,950–$187,000, or $172,550–$203,000 annually, depending on U.S. location tier.
Company
develops wearable health technology and connected-app experiences that help people understand and improve readiness, activity, and sleep.
What you will do
- Develop spend allocation, channel mix, budget pacing, media efficiency, audience strategy, and revenue impact models.
- Design recommendation engines, scenario planning tools, and AI-assisted workflows that support recurring business decisions.
- Lead experimentation and causal measurement across upper-funnel marketing, campaigns, channels, and retail partnerships.
- Unify marketing, revenue, retail, and product data while improving data quality, instrumentation, metric definitions, and pipeline reliability.
- Build dashboards, reporting layers, and recurring analytical products for funnel health, campaign efficiency, retail performance, and revenue contribution.
- Translate analytical results into recommendations for roadmap, budget, and growth strategy decisions while mentoring peers and supporting technical quality.
Requirements
- 6+ years of experience in data science, machine learning, or advanced analytics, with end-to-end ownership of high-impact business problems.
- Experience supporting Marketing, Growth, Retail, or go-to-market functions in consumer, e-commerce, retail, or digital businesses.
- Hands-on experience with marketing measurement, spend optimization, incrementality, propensity modeling, budget planning, experimentation, causal inference, forecasting, and optimization.
- Strong SQL, including dbt, and Python skills, with experience building analytical data models, machine learning workflows, and production-quality measurement systems.
- Experience with AI techniques, LLM-enabled workflows, recommendation systems, decision-support tools, and modern platforms such as Databricks, AWS, dbt, or Snowflake.
- Must be based in the United States; ability to communicate analytical concepts clearly and collaborate with distributed cross-functional teams is required.
Nice to have
- Experience in e-commerce, DTC, retail, omnichannel growth, marketing mix modeling, attribution, or budget planning.
- Experience connecting marketing, retail, and commercial performance data to revenue outcomes.
- Experience in digital health, consumer technology, or wearable products.
- Experience mentoring data scientists and shaping analytical roadmaps.
Culture & Benefits
- Health, dental, vision, and mental health resources.
- Company-provided Ring and employee discounts for friends and family.
- 20 days of paid time off, 13 paid holidays, and 8 days of flexible wellness time off.
- Paid sick leave, parental leave, competitive equity packages, and an inclusive equal-opportunity workplace.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →