Associate Data Scientist

About the Role

The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, process optimization, increased efficiencies, improve workflow automation using AI, and improve store associate experience. This role works closely with Data Scientists and/or Sr. Data Scientists to build industry-leading Agentic AI capabilities and deploy Data Science models at scale for MET operations. This role requires knowledge in one or more data science specializations, such as optimization, computer vision, Multimodal AI, Conversational AI, Information Retrieval, Generative AI, or search. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.

Key Responsibilities

• 70% Solution Development
• Design and develop algorithms and models to use against large datasets to create business insights.
• Support data science projects by conducting effective analysis to solve business problems.
• Execute tasks with high levels of efficiency and quality.
• Consult with Data Scientist or Sr. Data Scientist on appropriate selection, utilization, and interpretation of advanced analytical methodologies.
• Learn about assigned business areas to provide better solutions by incorporating business-specific knowledge.
• 20% Communicating Results
• Effectively communicate insights and recommendations to both technical and non-technical audiences.
• Support preparation of reports, updates, and/or presentations related to progress made on a project or solution.
• Highlight potential impacts of recommendations to drive alignment and appropriate implementation.
• 10% Technical Learning
• Keep up to date on industry trends, best practices, and emerging methodologies.
• Continually develop skills and expertise in data analytics concepts and methodologies.
• Identify opportunities to apply learnings.

Requirements & Tech Stack

• Proficient in a modern scripting language (preferably Python).
• Proficient running queries against data (preferably with Google BigQuery or SQL).
• Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search, or NLP.
• Demonstrated experience in predictive modeling, data mining, and data analysis.
• Proficient with data visualization software (preferably Tableau).
• Proficient utilizing statistical techniques to identify key insights that help solve business problems.
• Working knowledge of Microsoft Excel and Power Point.

Qualifications

• Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.
• 2+ years of experience in developing machine learning / AI models to solve business problems.
• 2+ years of experience in business intelligence and analytics.
• The knowledge, skills, and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Additional Information

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• No travel required.
• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
• Located in a comfortable indoor area.