3 дня назад
(USA) Principal Data Scientist (Machine Learning)
143 000 - 286 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Scientist (Machine Learning): Developing and deploying predictive and prescriptive models for last-mile delivery optimization, including routing, trip pricing, driver-trip matching, delivery commitments, and capacity management, with an accent on machine learning, deep learning, statistical analysis, and data strategy. Focus on designing scalable solutions, validating and managing model lifecycles, translating business problems into measurable outcomes, and mentoring data science teams.
Location: Onsite at the Crossman Respect Building in Sunnyvale, California, United States
Salary: $143,000–$286,000 annual base salary, plus performance-based bonuses and potential stock compensation.
Company
develops data-driven solutions supporting Walmart's retail and last-mile delivery operations.
What you will do
- Develop, test, and deploy advanced data science solutions using Python and SQL.
- Design and validate predictive and prescriptive models using machine learning, deep learning, reinforcement learning, and statistical techniques.
- Analyze business problems, identify root causes, and translate requirements into data strategies and measurable outcomes.
- Assess data sources and manage data quality for modeling and analytics.
- Monitor model performance and manage model lifecycles to maintain scalable solutions.
- Mentor team members on analytical methods, model development, and data visualization.
Requirements
- Extensive experience developing and deploying machine learning and deep learning models with Python.
- Proficiency in statistical analysis, exploratory data analysis, advanced modeling, and solution architecture.
- Strong knowledge of data sourcing, quality assessment, and data ecosystem management.
- Expertise in model validation, tuning, deployment, and lifecycle management.
- Bachelor's degree in a relevant field with 5 years of analytics experience, a master's degree with 3 years of experience, or 7 years of experience in analytics or a related field.
- Experience mentoring teams and translating complex business problems into data-driven strategies.
Nice to have
- Experience with optimization models, a PhD, academic publications, or peer-review activity in a related field.
- Successful completion of assessments in Python, Spark, Scala, or R.
- Experience with open-source frameworks such as scikit-learn, TensorFlow, or Torch.
- Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Culture & Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase opportunities, company-paid life insurance, and disability benefits.
- Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
- Company discounts and adoption and surrogacy expense reimbursement.
- Walmart-paid education benefits covering tuition, books, and fees for eligible full-time and part-time associates.
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