Sr Data Scientist

Job Summary

Webstaurant Store, the world’s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization’s analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization.

This role can be remote in some US states (see below for remote work requirements) or based in one of our offices (Lititz, PA or Tampa, FL).

• Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization.
• Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance.
• Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive).
• Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions.
• Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy.
• Work with other data scientists to design and implement experiments and glean actionable insights from experimental analyses.
• Defend and explain the validity of predictive/ML models to those without a background in data science or statistics.
• Actively research new tools and technologies, staying on top of analytics news and best practices.

• Work is performed while sitting/standing and interfacing with a personal computer.
• Requires the ability to communicate effectively using speech, vision, and hearing.
• Requires the regular use of hands for simple grasping and fine manipulations.
• Requires occasional bending, squatting, crawling, climbing, and reaching.
• Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.

• Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
• Access to a home router and modem.
• A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
• A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
• The desire and ability to work and communicate with other team members via chat, webcam, etc.
• Legal residents of one of the following states: AK, AL, AR, AZ, CT, DE, FL, GA, IA, , IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, NC, ND, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY. H-1B Visa Sponsorship Not Available, W2 only.

• Minimum 5 years of work experience in Data Science, or a PhD in math, statistics, economics, or a modeling-related field.
• Advanced Python and SQL skills.
• You have a proven ability with statistical methods and advanced modelling techniques; extra points if you have experience with one or more of the following: ecommerce search, recommendation engines, dynamic pricing, or user matching/data clean rooms.

This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.

• Communicate Effectively:
  Ability to explain ideas simply and confidently to team members both written and verbally.
• Entrepreneurial Spirit:
  Takes it upon themselves to find ways to add value to the team and business. They are self-motivated and creative in their quest to find actionable insights and new solutions. They can often be found saying “What if we tried this?” or “Maybe this is a better way to do it?” They have a knack…