Mid Level Data Scientist

Responsibilities

• Design and develop machine learning models and advanced analytical solutions
• Analyze large datasets to provide actionable business recommendations
• Collaborate with engineering teams to deploy production-ready solutions
• Optimize model performance and data workflows
• Build and maintain scalable data pipelines within cloud environments
• Present findings and recommendations to business stakeholders

• 3-5 years of experience in data science or advanced analytics
• Strong expertise with Python, R, and SQL
• Hands‑on experience with Azure ML and Databricks
• Experience with predictive modeling, machine learning, and statistical analysis
• Knowledge of cloud‑based data platforms and big data technologies
• Strong communication and stakeholder engagement skills

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.

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.