Data Scientist - Pricing

Clark Associates, Inc.; Lititz, Northern (Lancaster County, KY); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Webstaurant Store is seeking a full-time Data Scientist to join the Data Science team. The role focuses on supplying statistical rigor to analytics projects, uncovering insights, and driving growth and optimization.

Remote work is possible in some US states, with offices in Lititz, PA or Tampa, FL. The successful candidate will collaborate across teams to implement advanced statistical methodologies and design interventions to improve business performance.

Qualifications

• Strong statistical background applied to analytics projects.
• Experience in developing and evaluating analytics models.
• Ability to translate business problems into data science solutions.

Responsibilities

• Advise on analysis and modeling techniques for structured & unstructured data.
• Collaborate with analytics engineers to gather data for advanced methods.
• Conduct exploratory analysis including hypothesis testing and inference.
• Partner with stakeholders to translate problems into data science solutions.
• Develop processes to monitor model performance and data accuracy.
• Work with teams to design experiments and derive insights.
• Explain the validity of predictive/ML models to non-experts.

Skills

Statistics

Modeling

Experiment design

Data science

ML concepts

Job description

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).

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.