Data Scientist

WEBstaurant Store, LLC; United States; On-site; USD 85,000 - 120,000; Full time

Job summary

WEBstaurant Store, LLC is seeking a full-time Data Scientist to join their dynamic Data Science team. The role involves advising on analysis techniques, collaborating on data gathering, and conducting exploratory analysis to drive actionable insights and optimize business performance. Candidates can work remotely from various US states or choose in-office options in Lititz, PA or Tampa, FL.

Key responsibilities include advising on modeling techniques, implementing statistical methodologies, and conducting analysis for retail business problems. A minimum of 2 years in Data Science or a PhD in a related field is required, along with advanced skills in Python and SQL.

Qualifications

• Minimum 2 years of experience in Data Science or a PhD in a related field.
• Advanced skills in Python and SQL.
• Proven ability with statistical methods and advanced modeling techniques.

Responsibilities

• Advise on analysis and modeling techniques for structured and unstructured data.
• Collaborate with analytics engineers to implement advanced statistical methodologies.
• Conduct exploratory analysis to derive insights for retail business problems.

Skills

Python

SQL

Statistical methods

Advanced modeling techniques

Ecommerce search

Recommendation engines

Dynamic pricing

Education

PhD in a related field

Job description

Joining a dynamic Data Science team, the full-time Data Scientist will advise on analysis techniques, collaborate on data gathering, and conduct exploratory analysis to drive actionable insights and optimize business performance, with the option to work remotely from various US states or in-office in Lititz, PA or Tampa, FL.

Key responsibilities

• Advise on analysis and modeling techniques for structured and unstructured data, developing custom analytics models
• Collaborate with analytics engineers to implement advanced statistical methodologies and design interventions
• Conduct exploratory analysis, including hypothesis testing and statistical inference, to derive insights for retail business problems

Required qualifications

• Minimum 2 years of experience in Data Science or a PhD in a related field
• Advanced skills in Python and SQL
• Proven ability with statistical methods and advanced modeling techniques
• Experience with ecommerce search, recommendation engines, or dynamic pricing is a plus
• No specific degree required; relevant skills and experience are prioritized