WebstaurantStore · 9 hours ago
Data Scientist - Marketing
Lititz, PA
Full-time
Hybrid
Entry, Mid Level
2+ years expWebstaurant Store, the world’s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. This role involves supplying statistical rigor to analytics projects aimed at discovering actionable insights and opportunities for growth and optimization. The Data Scientist will collaborate with analytics engineers and business stakeholders to develop custom analytics models and improve marketing performance.
Consumer GoodsIndustrialManufacturingService Industry
No H1B
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)
Maintaining and updating our in-house Media Mix Models (MMM) and Multi-Touch Attribution (MTA) models to ensure they reflect the current state of marketing spend and value
Designing, implementing, and analyzing lift / blackout / other experiments to continually improve our attribution models
Partnering with business and technical stakeholders, including our Google account team, to translate complex retail challenges into 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
Qualification
Required
Minimum 2 years of professional experience in Data Science, or a PhD in mathematics, statistics, economics, or a related quantitative field
Advanced proficiency in Python and SQL, with strong foundation in statistical methods and advanced modeling techniques applied to marketing and growth problems
Hands-on experience with experimentation and causal inference frameworks, including incrementality testing, geo experiments, holdout designs, or quasi-experimental methods
Proven ability to partner with paid marketing teams to design, execute, and analyze experiments that inform budget allocation and channel strategy
Experience building, evaluating, or refining Media Mix Models (MMM) and/or Multi-Touch Attribution (MTA) models to quantify marketing impact and reduce uncertainty
Ability to translate complex model outputs into clear, credible insights that drive stakeholder buy-in and influence marketing decision-making, even without direct ownership of spend
Comfortable navigating trade-offs between model rigor, business timelines, and practical adoption by paid media stakeholders
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, ID, 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
Preferred
Familiarity with a variety of supervised/unsupervised/reinforcement learning methods
Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects
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
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
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
Dog-friendly Offices
Company
WebstaurantStore
Since WebstaurantStore's start in 2004, we have worked hard to build an innovative, easy-to-use website that meets the purchasing needs of foodservice professionals throughout the world.
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Laura Brent
Conversion Rate Optimization (CRO) Lead
Luara Da Silva, MBA
Partnership & Project Coordinator
Recent News
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