Senior Data Scientist

• 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

Data Science, Data Science, Logistics, Microsoft Product Family, Machine Learning, Demand Forecasting/Planning, Microsoft Windows Azure, Supply Chain, Artificial Intelligence (AI), SQL (Structured Query Language), * 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
• Proficiency in Python and experience with data manipulation libraries (e.g., Pandas, NumPy)
• Experience with Oracle Databases
• Strong SQL skills
• Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)
• 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.

Kforce has a client in Deerfield Beach, FL that is seeking a Senior Data Scientist. Key Responsibilities, By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.