5 дней назад
Staff, Data Scientist (Ads Analytics)
152 000 - 261 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff, Data Scientist (Ads Analytics) (Advertising Analytics/AdTech): Developing auction and monetization models, revenue and inventory forecasts, and experimentation analytics for an e-commerce advertising platform with an accent on statistical rigor, revenue optimization, and product strategy. Focus on designing A/B and multivariate tests, analyzing cohort drivers, forecasting revenue, and communicating concise, fact-based insights to guide product iterations.
Location: Mountain View, USA
Salary: $152,000–$261,000 per year, plus potential bonus, equity, and other compensation.
Company
is a large global public e-commerce company building commerce and advertising products, with a startup-oriented culture.
What you will do
- Develop and test auction and monetization models for Ads and simulate their potential revenue impact.
- Define and maintain KPIs covering product adoption, usage, performance, churn, and monetization effectiveness.
- Design and maintain inventory and revenue forecasting models to support revenue optimization and financial forecasting.
- Design, conduct, and analyze A/B and multivariate tests with statistical rigor, including cohort studies.
- Turn test results into timely, compelling, fact-based recaps that communicate business insights and outcomes.
Requirements
- Master’s degree in Computer Science, Electrical Engineering, Mathematics, or a closely related field.
- At least 4 years of Data Scientist experience in customer-facing technology companies.
- Expertise in experimentation and statistics.
- Strong quantitative analysis, presentation, communication, organization, and stakeholder-management skills.
- Ability to manage multiple projects for multiple stakeholders in a fast-paced organization.
Nice to have
- 6+ years of experience in ads data analysis, ML model building and optimization, financial analysis, market research, and executive reporting.
- Experience in AdTech, advertising, digital marketing, ad agencies, or related domains.
- Strong SQL and experience with Python or R for statistical analysis.
- Experience with Hive, Presto, Airflow, ML model deployment and optimization, backend and ML systems, and data visualization tools such as Tableau, Qlik, Looker, or Power BI.
Culture & Benefits
- Startup culture supported by the resources of a large global public company.
- Annual bonus of 0–20% of base salary.
- Medical, dental, vision, life, AD&D, disability, FSA, and HSA benefits.
- 401(k) plan with company match, 18–21 days of PTO based on tenure, 12 paid holidays, and paid parental leave.
- Pre-tax commuter benefits and a free electric car charging station in Mountain View.
Hiring process
- Application review, phone interview, onsite or virtual onsite interview, and offer.
- The process and schedule may vary by role and circumstances.
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