Data Scientist

Roles & Responsibilities

• Design, develop, and deploy predictive and prescriptive models and machine learning algorithms using Microsoft Azure ML, Power Platform, Python, and other relevant tools
• Ability to drive unified data analytics (prescriptive and predictive), and leverage tools such as Power BI, Azure Synapse, OneLake.
• Collaborate with cross-functional technology, product, and business teams to understand data needs, translate them into algorithms and analytical solutions. Need to be able to deliver solutions to production.
• Demonstrated expertise in modeling of unstructured, semi-structured and structured data.
• Analyze large datasets to uncover trends, patterns, and insights that inform business decisions
• Visualize data insights using dashboards and reports to communicate findings to stakeholders.
• Present findings and recommendations to technical and non-technical audiences
• Provide technical direction and best practices for modeling, data engineering, and analytics
• Establish good data management practices including data governance and MDM.
• Establish standards for data quality, model validation, predictive and prescriptive analytics
• Stay current with industry trends, emerging technologies, and best practices in data science and analytics.

Supervisory Responsibilities

• While this position may not initially have supervisory responsibilities, this role is expected to provide technical leadership in data science and data analytics. This person is also expected to collaborate across GS1 US and lead cross-functional teams as needed.

Education And Experience

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field is preferred
• 5+ years of hands-on experience with manipulating large data sets, identifying patterns, and developing inference and regression models that can be implemented. Digital supply chain and e-Commerce experience is strongly preferred
• 8+ years of programming including tools such as Power BI and languages such as Python, SPARK, SQL etc.
• Hands-on expertise in Microsoft Azure ecosystem including Azure ML, Fabric, Synapse Analytics, and Microsoft Power Platform
• Ability to lead complex projects, define analytical strategy, and mentor junior data scientists and engineers
• Data governance, security, and scalability skills
• Significant experience with supervised and/or unsupervised Machine Learning algorithms
• Experience with predictive and prescriptive analytics is a must
• NLP and Gen AI experience is preferred
• Demonstrated expertise in machine learning, deep learning and statistical modeling
• Knowledge of CI/CD pipelines for model deployment
• Familiarity with Microsoft Dynamics 365 and other business applications is a plus
• Exceptional storytelling with data and ability to translate complex data into actional insights