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10 дней назад

Principal Data Scientist (Forecasting)

143 000 - 286 000$
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
Principal Data Scientist (Forecasting): Building and improving large-scale demand forecasting systems across item, store, and location combinations with an accent on machine learning, statistical modeling, and scalable production deployment. Focus on designing time-series and probabilistic models, integrating business data sources, monitoring forecast quality, and supporting explainability, fairness, and data governance.

Location: Crossman Integrity Building, Sunnyvale, California, United States

Salary: $143,000–$286,000 annual base salary for the Sunnyvale location, with potential performance-based bonuses and stock compensation.

Company

hirify.global develops data-driven solutions supporting Walmart’s business and operational needs.

What you will do

  • Build and improve large-scale demand forecasting models across item, store, and location levels.
  • Apply regression, time-series analysis, probabilistic modeling, ensembling, and deep learning techniques.
  • Collaborate with engineering teams on feature pipelines, model training workflows, and production deployment.
  • Integrate promotions, events, and macroeconomic indicators into forecasting inputs.
  • Monitor and evaluate models using dashboards, SQL, and Python to identify results and anomalies.
  • Support responsible AI practices, including explainability, fairness, and data governance.

Requirements

  • At least 7 years of experience in analytics or a related field, or a relevant bachelor’s or master’s degree with applicable experience.
  • Strong Python programming skills and experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Proficiency in SQL and experience with large datasets or cloud computing environments such as AWS, GCP, or Azure.
  • Knowledge of forecasting or time-series techniques and the ability to translate business problems into data science solutions.
  • Strong communication and collaboration skills for explaining analytical results to non-technical stakeholders.
  • Immigration sponsorship is not available for this position.

Nice to have

  • Experience with R, Spark, Scala, Docker, MLOps tools, optimization models, or open-source machine learning frameworks.
  • PhD, research publications, or active peer-review experience in a related field.
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.

Culture & Benefits

  • Full-time employment with medical, vision, dental, life insurance, disability coverage, and 401(k) benefits.
  • Paid time off, sick leave, parental and family care leave, and other leave programs.
  • Performance-based bonuses, stock opportunities, company discounts, and other financial benefits.
  • Walmart-paid education through Live Better U, including tuition, books, and fees for eligible programs.
  • Collaborative, learning-focused work with opportunities to contribute to scalable forecasting projects and responsible AI practices.

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