Data Scientist II

Knowesis is currently seeking a Data Scientist II to support the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program in identifying and implementing innovative, valuable solutions across the Special Operations Forces (SOF) enterprise aimed at improving the short and long-term well-being of SOF warriors and their families. This work will be performed at the client’s location on MacDill AFB, FL.

This position requires a Secret Clearance and U.S. Citizenship (applicants without proof of US citizenship will not be considered due to the position’s security clearance requirement). The successful candidate will reside in the local area or relocate within 15 days of the start date.

 The Job Duties and Responsibilities include but are not limited to the following: 

• Conducts advanced data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling more informed analytic decisions.
• Enter and analyze data within government systems.
• Maintain dashboards to automate data analysis, identifying, interpreting, and presenting trends, designed to record POTFF-related programmatic data.
• Assist the POTFF staff with survey design. Create, analyze, and report survey data.
• Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data related to POTFF programs and initiatives.
• Work in consultation with POTFF program staff and the Government’s POTFF biostatistician.
• Provide subject matter expertise in the areas of program evaluation, research methodologies and data analysis.
• Be able to use statistics/modeling tools and data visualization techniques to provide an accessible way to see and understand trends, outliers, and patterns in data to produce reports and presentations that accurately convey data trends supporting the mission.

Required Qualifications: 

• Master’s degree in quantitative science, social science, or a related discipline.
• Advanced proficiency with the suite of Microsoft Office programs, including Word, Excel, and Access.
• Advanced proficiency with commonly used statistical software applications such as SPSS, SAS, Python, and R-Shiny.
• Three (3) years, or more, of research experience in academic, social services, government, healthcare, or laboratory setting is required.
• Be able to read, write, and speak English fluently and clearly to effectively communicate with all personnel they will interact with.
• Possess excellent verbal, written, interpersonal communication, presentation skills, and shall be highly detail-oriented.
• Possess sufficient initiative, interpersonal relationship skills, and social sensitivity such that they can relate constructively to a variety of contacts from a diverse background.
• Advanced proficiency may be demonstrated through an employment history in academia or other settings where the conduct of research is routine.
• Proficiency must be further demonstrated by a history of scientific publications.

Preferred Qualifications: 

• Doctoral degree in quantitative science, social science, or a related discipline.
• Certification or documented experience with Human Performance
• Experience working with Special Operations, athletics/sports, or other military settings.
• Strong technical and analytical skills in the following:
• Data visualization (Power BI, Tableau)
• SQL querying & database management
• Business analytics & reporting
• Predictive modeling & forecasting
• Dashboard development

Education:

• Master’s (required) or doctoral degree (preferred) in quantitative science, social science, or a related discipline

Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.