10 дней назад
Senior Data Scientist, Operations Analytics
121 000 - 132 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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