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5 дней назад

Staff, Data Scientist (Ads Analytics)

152 000 - 261 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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 hirify.global 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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