What are the responsibilities and job description for the Senior Data Scientist / Data Engineer position at Kforce Inc?
Responsibilities
Kforce has a client that is seeking a Senior Data Scientist/Data Engineer in Deerfield Beach, FL. Duties Include:
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.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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.
Kforce has a client that is seeking a Senior Data Scientist/Data Engineer in Deerfield Beach, FL. Duties Include:
- 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 Analysis: Utilize statistical analysis and data mining techniques to interpret complex data sets, identifying trends, patterns, and anomalies
- 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
- 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
- Deployment: Work with architects to deploy machine learning models into production environments, ensuring scalability, performance, and integration with existing systems
- Degree and or certifications in Data Science, Statistics, Mathematics, Computer Science, or a similar quantitative field
- 5 years of experience as a data scientist, with a strong focus on supply chain management and problem-solving
- Communication Skills: Ability to effectively 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
- Proficiency in Python and experience with data manipulation libraries (e.g., Pandas, NumPy)
- Strong SQL and data modeling skills
- Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)
- Familiarity with Azure cloud platforms and data warehousing solutions; Experience with Azure Data Factory is helpful
- 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
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.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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.
Salary : $75
