Data Scientist

Role Overview

The Data Scientist will drive data wrangling, statistics, Machine Learning, Artificial Intelligence, and system efficiencies by delivering innovative data-driven solutions. This role works directly with merchandising, marketing, operations, IT, and vendor partners.

What You Will Do

Deliver against the overall data science strategy to drive a safe and secure patient experience, marketing, customer loyalty, and operational performance. Build prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, data transformations, statistical models, machine learning, and artificial intelligence functions.

Why It Might Be a Fit

This role requires a proactive, curious, and action-oriented individual with experience in using Python, Databricks, Azure ML, Azure Cognitive Service, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, and experience working with large datasets and developing ML/AI systems.

Requirements

• Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, Sociology or related quantitative field
• 4+ years of relevant data science experience in an applied role preferable in retail, pharmaceutical, logistics, supply chain, or CPG industry.
• Demonstrated strength in using: Python, Databricks, Azure ML, Azure Cognitive Service, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch.
• Experience with Azure Cloud technologies: Azure Synapse, Azure Data Factory, ADLS, and Azure DevOps/MLOps
• Experience with Microsoft Fabric, PowerBI Reporting, Semantic Models, Ontology, Copilot
• Experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting, and/or econometric time series models

Benefits

• Weekly pay
• Scheduling flexibility
• Paid parental leave
• Paid education assistance
• Team member discount
• Development programs for advancement and career growth