Data Scientist

Kforce has a client that is seeking a Data Scientist in San Antonio, TX.Duties Include:

• Leverages expert business, analytical and technical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies
• Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy
• Organizes and oversees the development of requirements/resources necessary to meet established objectives
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change
• Translates recommendation into communication materials to effectively present to all levels of management
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences
• Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA)
• Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements
• Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions
• Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy

• Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline is required; Or 4 years of related statistics, mathematics or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree

Preferred Skills:

• Portfolio optimization
• Action based recommendations using quantitative and qualitative inputs
• Strategic problem structuring
• Scenario planning and sensitivity analysis
• Property valuation methods
• Lease analysis (NNN, gross, modified gross)
• Asset allocation analysis
• Data and statistical analysis and interpretation
• Forecasting and trend analysis
• Scenario modeling
• Data validation and QA
• Decision science concepts
• Analytical and insight-driven storytelling
• Clear recommendation framing
• Cross-functional collaboration
• Data visualization best practices
• Translating analytics into business impact

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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