Data Scientist

Kforce is a professional staffing services firm offering Technology and Finance & Accounting jobs with top employers nationwide. We specialize in providing contract, contract-to-hire and direct placement opportunities, with over 50 years of experience in the staffing industry.

* Advocate, evangelize and build data-fueled products that help the client's customers improve Financial outlooks * Become an expert on our business model and provide insight into leading analytic practices * Design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of the client's core deliverables * Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas * Lead applied analytics initiatives that are leveraged across the breadth of the client's solutions for FRPA * Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes * As the data scientist, the candidate will provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of their organization

* The candidate has a Ph.D. or Master's degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline * At least 2 years of experience (more preferred) delivering world-class data science outcomes, solving complex analytical problems using quantitative approaches with unique blend of analytical, mathematical and technical skills * Has a deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms * Possess ability to ask and answer questions in large datasets, and able to communicate that knowledge to product managers and engineers * Possess keen desire to solve business problems, and strive to find patterns and insights within structured and unstructured data * Propose analytics strategies and solutions that challenge and expand the thinking of financial discipline * Expertise in analyzing large, complex, multi-dimensional datasets with a variety of tools * Expertise in the use of statistical analysis environments such as R, Spark, etc * Experience with SQL, Python, Scala, Java, C and UNIX scripting * Familiarity with BI tools such as Tableau and QlikView * Experience with relational databases and also Hadoop-based data mining frameworks * Have desire a fast paced, test-driven, collaborative and iterative engineering environment * Excel at making complex concepts simple and easy to understand by team members and superiors