pythonsqldata visualizationstatisticsmachine learninga b testingdata governancepredictive analyticsscalable analytics
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Средняя
$143к-286к/год
$140к$200кмедиана$220к
По похожим ролям (48) ~ $200к/год
На СНГ рынке: $3.9к/мес ($3.6к - $4.2к)
86
Хорошая вакансия
развернуть
Чёткая роль старшего уровня, хороший пакет льгот и зарплата на уровне рынка делают вакансию привлекательной, хотя широкий диапазон не позволяет понять, какое предложение будет на практике.
Staff Data Scientist (Python/Statistics): Solving complex eCommerce business problems through predictive modeling, experimentation, and advanced analytics with an accent on customer behavior, profitability, and fulfillment efficiency. Focus on designing A/B tests, building scalable analytical frameworks, quantifying business impact, and mentoring data scientists.
Location: Sunnyvale, California, United States; primary location at 809 11th Ave
Salary: $143,000–$286,000 annually, plus performance-based bonuses and possible stock compensation.
Company
hirify.global is part of Walmart’s eCommerce Decision Sciences organization, using analytics and experimentation to improve customer experience, conversion, fulfillment efficiency, and profitability.
What you will do
Lead complex analytical initiatives across customer behavior, business performance, contribution profit, fulfillment costs, and fee structures.
Design and evaluate A/B tests using rigorous statistical methods to measure business impact.
Develop predictive models and scalable analytical frameworks using statistical and machine learning techniques.
Perform exploratory data analysis, root cause analysis, hypothesis testing, and model validation.
Partner with Product, Finance, Engineering, and Business teams to influence strategic and product decisions.
Communicate actionable insights through data visualizations and mentor data scientists on analytical best practices.
Requirements
Bachelor’s degree in a relevant field and 4 years of analytics experience, or a master’s degree and 2 years of experience, or 6 years of experience in analytics or a related field.
Expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling.
Strong proficiency in SQL, Python, complex datasets, and data visualization.
Knowledge of A/B testing, experimental design, statistical hypothesis testing, exploratory analysis, and model validation.
Ability to structure ambiguous business problems, communicate complex insights, influence stakeholders, and establish data quality and governance practices.
Ability to mentor data scientists and develop scalable, automated analytical solutions.
Nice to have
Experience with data science, optimization models, or a PhD in a related quantitative field.
Experience with Spark, Scala, R, scikit-learn, TensorFlow, or Torch.
Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility best practices.
Culture & Benefits
Medical, vision, and dental coverage.
401(k), stock purchase program, company-paid life insurance, and performance-based bonuses.
Paid time off, sick leave, parental and family care leave, and other statutory or company leave programs.
Disability coverage, company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
Walmart-paid education benefits covering eligible tuition, books, and fees for qualifying programs.
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 →