Senior Data Scientist - Supply Chain Management and Optimization

Title: Senior Data Scientist - Supply Chain Management and Optimization
Location: (Hybrid 3/2)  Deerfield Beach, FL
Duration: 6 months +
Compensation: 75hr. to 85hr.
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
 
Skillset / Experience:

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 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
 
 
 
Our benefits package includes: (EXCLUDE on perm placements)

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• …and much more!

 
About INSPYR Solutions


Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
 
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