Note: The job is a remote job and is open to candidates in USA. WebstaurantStore is an online restaurant supply company seeking a full-time Data Scientist to join its Data Science team. The role applies statistical analysis, pricing and demand modeling, experimentation, and machine learning to generate actionable insights and optimize business performance.
Responsibilities
- 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
Skills
- • 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
- • 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, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, 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 2 years experience applying data science to pricing and demand problems in ecommerce, retail, or foodservice environments
- • Proven ability to build and analyze price response curves or similar models to identify optimal pricing across a wide range of products
- • Experience using data to inform pricing strategy and day-to-day pricing decisions, even if not the final decision owner
- • Strong understanding of price elasticity, demand forecasting, and trade-offs between margin, volume, and customer acquisition
- • Demonstrated ability to identify strategic low-priced items that drive customer traffic, alongside optimizing prices for both low and high AOV products
- • Comfortable working with large SKU catalogs and messy real-world data to deliver actionable pricing insights
- • Ability to partner closely with merchants, and other teams to translate model outputs into business decisions
- • Advanced Python and SQL skills
- This role does not require a degree
- • You Communicate Effectively: Ability to explain ideas simply and confidently to team members both written and verbally
- • Familiarity with a variety of supervised/unsupervised/reinforcement learning methods
- • Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects
- • You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales models for the production environment
- • You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose
- • 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
Benefits
- Medical
- Vision
- Dental
- PTO
- Paid Maternity Leave
- Paid Parental Leave
- Life Insurance
- Disability
- Dependent Care FSA
- 401(k) matching
- Employee Assistance Program
- Wellness Incentives
- Company Discounts
- AT&T & Verizon Discount
- Bonus Opportunities
- Accident Insurance
- Critical Illness Insurance
- Adoption Assistance
- On-Site Fitness Centers (available at HQ locations only)
- Dog-friendly Offices (available at HQ locations only)
Company Overview