Mid and Senior Data Scientists

RESPONSIBILITIES:
Data Scientist:
We are seeking an experienced Data Scientist in ATL, Austin and Salt Lake City, to help solve complex, data-driven problems through statistical analysis, predictive modeling, and machine learning. This role focuses on transforming large, diverse datasets into actionable insights that influence product development, operational efficiency, and business decision-making.
The ideal candidate is comfortable working independently, brings strong analytical rigor, and thrives in a fast-paced, collaborative environment.

Duties:
* Partner with application engineering, product management, and operational teams to design, experiment with, and implement machine learning and analytical solutions
* Analyze large and complex datasets to surface patterns, generate hypotheses, and validate findings through experimentation
* Apply statistical and machine learning techniques to real-world business problems, producing measurable insights to guide product and feature planning
* Translate ambiguous problem statements into structured analytical and mathematical models
* Develop, test, and scale algorithms while ensuring performance, reliability, and interpretability
* Surface analytically driven features and insights within core products and reporting workflows
* Collaborate with product, marketing, and commercial stakeholders as needed to incorporate market and customer feedback
* Communicate findings, trade-offs, and root causes clearly to both technical and non-technical audiences

REQUIREMENTS:
* Master's degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field is preferred
* Strong foundation in statistical and machine learning techniques such as classification, regression, clustering, dimensionality reduction, and multivariate analysis
* Experience evaluating model performance using methods such as cross-validation, hold-out testing, and similar approaches
* Understanding of algorithmic complexity and performance at scale
* Hands-on experience with predictive modeling using Python and/or R
* Working knowledge of relational databases and SQL
* Ability to code in at least one general-purpose programming language (e.g., Python, Java, C#, or similar)
* Strong analytical, problem-solving, and written communication skills
* Comfort operating in evolving or ambiguous environments where adaptability is critical
* Excellent interpersonal skills with the ability to communicate effectively across all levels of an organization
* Highly organized, detail-oriented, and capable of managing multiple priorities
* Proficiency with standard productivity and presentation tools

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.

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