Senior Data Scientist - Supply Chain Management and Optimization

Hybrid Deerfield

Job Title : Senior Data Scientist - Supply Chain Management and Optimization

Job Overview :

We are seeking a highly skilled Senior Data Scientist with a strong background in

supply chain management and expertise in both developing and deploying machine

learning models into production for end user consumption. The ideal candidate will have

a proven ability to analyze complex data sets, decern actionable insights, and effectively

communicate results to leadership and stakeholders.

Key Responsibilities :

Model Development : Design, implement, and optimize machine learning models

utilizing the Microsoft technology stack (Azure AI Foundry, Azure ML, Azure SQL

Managed Instance, Azure Synapse Analytics) to solve supply chain challenges,

including demand forecasting, optimization, and logistics planning.

Data Analysis : Utilize statistical analysis and data mining techniques to interpret

complex data sets, identifying trends, patterns, and anomalies.

Deployment : Work with architects to deploy machine learning models into

production environments, ensuring scalability, performance, and integration with

existing systems.

Collaboration : Work closely with cross-functional teams, including the business,

end users and IT, to understand business needs and translate them into data-

driven solutions.

Presentation : Prepare and present findings, complex models, and statistical

outputs to leadership and stakeholders, ensuring clarity and actionable insights.

Use Case Development : Understand various business opportunity areas and

underlying data to assess potential value propositions. Including suitability for

advanced analytics solutions and making recommendations on best approach.

Qualifications :

Education : Degree in Data Science, Statistics, Mathematics, Computer Science,

or a related field.

Experience : 5+ years of experience as a data scientist, with a strong focus on

supply chain management and problem-solving.

Technical Skills :

o Proficiency in Python and experience with data manipulation libraries

e.g., Pandas, NumPy).

o Experience with Oracle Databases

o Strong SQL skills

o Experience with machine learning frameworks (e.g., TensorFlow, Scikit-

learn, PyTorch).

o Familiarity with Azure cloud platforms and data warehousing solutions.

Communication Skills : Strong ability to present complex data insights and

models to non-technical stakeholders.

Analytical Mindset : Proven problem-solving skills with a strong focus on data-

driven decision-making.

Preferred Qualifications :

Experience in supply chain optimization tools and methodologies particularly in

the Automotive Industry.

Knowledge of data visualization tools (Power BI) to communicate findings

effectively.

Experience with Microsoft Fabric