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4 дня назад

Senior Data Scientist (AI/ML)

90 000 - 180 000$
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
Senior Data Scientist (AI/ML): Designing, building, and deploying machine learning and agentic AI solutions with an accent on LLMs, statistical modeling, experimentation, and scalable data products. Focus on productionizing and monitoring models, orchestrating multi-step AI workflows, applying MLOps practices, and mentoring data science associates.

Location: Onsite in Bentonville, Arkansas, United States

Salary: $90,000–$180,000 per year, plus performance-based bonuses and possible stock compensation.

Company

hirify.global develops data-driven solutions supporting Walmart’s customer and business ecosystem.

What you will do

  • Design, build, and deploy machine learning and agentic AI solutions that deliver measurable business outcomes.
  • Translate ambiguous business problems into scalable data products in partnership with product, engineering, and business stakeholders.
  • Develop models across supervised and unsupervised learning, NLP and LLMs, forecasting, optimization, trend analysis, and clustering.
  • Manage the end-to-end model lifecycle, including data exploration, feature engineering, evaluation, productionization, monitoring, drift detection, and retraining.
  • Design experiments, test hypotheses, interpret model responses, and provide business recommendations and insights.
  • Mentor junior associates and influence technical direction across teams.

Requirements

  • Must work at the Bentonville, Arkansas, United States location.
  • Bachelor’s degree in statistics, economics, analytics, mathematics, computer science, information technology, or a related field plus 3 years of analytics experience; or a master’s degree plus 1 year of experience; or 5 years of relevant experience.
  • Strong foundations in statistics and machine learning, with experience building robust data pipelines and applying MLOps practices.
  • Experience with LLMs, agent frameworks, tool use, planning, multi-step reasoning, and workflow orchestration.
  • Ability to communicate model behavior, tradeoffs, and business impact to technical and non-technical audiences.

Nice to have

  • Experience with Python, Spark, Scala, or R.
  • Experience with scikit-learn, TensorFlow, Torch, optimization models, or advanced data science applications.
  • 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 potential stock compensation.
  • Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Short- and long-term disability coverage, company discounts, military leave pay, and adoption and surrogacy reimbursement.
  • Walmart-paid education benefits covering tuition, books, and fees for eligible programs.
  • Work practices emphasize integrity, inclusion, collaboration, continuous improvement, mentoring, and customer focus.

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