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10 дней назад

Senior Data Scientist, Operations Analytics

121 000 - 132 000$
Формат работы
hybrid
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, Operations Analytics (SQL/Python): Designing strategic models, sensitivity analyses, dashboards, and recommendations that guide fulfillment, planning, and delivery network decisions with an accent on operations strategy, network optimization, and data-driven business cases. Focus on determining where to open fulfillment and home delivery nodes, optimizing speed and cost over a 5+ year horizon, and improving fulfillment-center operations through analytical modeling.

Location: Boston, Massachusetts, United States; Boston-based with a 4-day in-office expectation

Annual base pay: USD 121,000–132,000

Company

hirify.global is an ecommerce company that operates an online home retail marketplace and fulfillment network.

What you will do

  • Design and maintain analytical models that generate strategic insights for fulfillment, planning, and operations teams.
  • Translate analysis into concise recommendations and evidence-backed data stories for cross-functional and senior stakeholders.
  • Build sensitivity analyses, tools, and dashboards using SQL, Python, and spreadsheet modeling.
  • Guide decisions about when and where to open fulfillment centers and home delivery operations nodes over a 5+ year horizon.
  • Develop operational improvements for fulfillment centers, including trailer unloading, carton putaway, pick efficiency, and large parcel assembly.
  • Collaborate with Operations Research, Network Management, Transportation & Delivery, and other operations teams.

Requirements

  • Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related field.
  • Professional experience in analytics or data science, including quantitative analysis and actionable recommendations.
  • Advanced SQL proficiency, including aggregate functions and joins.
  • Hands-on experience with Python for data manipulation, analysis, and modeling.
  • Fluency with generative AI coding tools such as Cursor, supported by strong foundational coding and analytical skills.
  • Ability to work from the Boston office four days per week; the standard in-office days are Tuesday, Wednesday, and Thursday, with two remote days.

Nice to have

  • Experience in logistics, ecommerce, supply chain, or consulting.
  • Knowledge of supply chain and logistics concepts.
  • Experience synthesizing open-ended problems into clear, evidence-backed narratives.
  • Experience creating comprehensive slide decks and white papers.
  • Strategic thinking, project direction, curiosity, and strong communication skills.

Culture & Benefits

  • Hybrid work schedule for Boston-based corporate employees.
  • Opportunity to work on high-scope, high-complexity operations strategy and planning problems.
  • Collaboration across operations, analytics, transportation, delivery, and network management functions.
  • Compensation may also include equity, bonuses, commissions, and medical and financial benefits.
  • Reasonable workplace accommodations are available for qualified individuals with disabilities.

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