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Data Scientist

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).

Job Location

Remote: 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

We only accept W-2 candidates, H-1B sponsorship is not available.

Responsibilities

Responsibilities include, but are not limited to:

• 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.

Physical Requirements

• 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.

Qualifications

Experience

• 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 cleanrooms.

Education

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

Desired Traits & Skills

The ideal candidate will possess the following qualities:

• You Communicate Effectively: Ability to explain ideas simply and confidently to team members both written and verbally.
• You have an 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 for overcoming obstacles.
• You Desire to Grow: Constantly seek to improve themselves and expand their professional knowledge and skill set.
• You're an inquisitive, out-of-the box thinker who's continually on the lookout for opportunities to improve and innovate data science solutions.
• You have consistently high standards; your passion for quality is inherent in everything that you do.
• 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.

Apply Now