Data Scientist II

This is a fully remote position, open to applicants in United States.

📋 Description

• Support the USSOCOM POTFF program by identifying and executing innovative, high-impact solutions throughout the SOF enterprise.

• Conduct advanced data analytics, including data manipulation, data mining, exploratory, predictive, and statistical analysis.

• Utilize research methodologies and analytics to enhance the short- and long-term welfare of SOF service members and their families.

• Implement NLP and both supervised and unsupervised machine learning techniques to enhance relevance and personalization algorithms.

• Collaborate with product managers, software engineers, and designers to design experiments and minimum viable products.

• Discover, access, import, clean, and prepare data for modeling purposes.

• Create and refine features derived from the underlying data.

• Execute A/B tests, analyze results statistically, and communicate the impacts of optimization.

• Enter, maintain, and analyze data within government systems.

• Develop and sustain dashboards that automate analysis and identify as well as present POTFF data trends.

• Assist in survey design and analyze and report survey findings.

• Advise supported units and POTFF staff on data collection opportunities and methodologies.

• Collaborate with POTFF program staff and the Government’s POTFF biostatistician.

• Provide expertise in program evaluation, research methodologies, and data analysis.

• Utilize statistical modeling and data visualization to identify trends, outliers, and patterns.

• Generate reports and presentations that communicate mission-relevant findings.

⛳️ Requirements

• A Master’s degree in quantitative science, social science, or a related field is required for the POTFF-specific qualifications.

• A B.S. or B.A. in a technical discipline is necessary.

• A minimum of 3 years of research experience in academic, social services, government, healthcare, or laboratory environments.

• At least 5 years of experience utilizing machine learning/deep learning frameworks and algorithms.

• A minimum of 5 years of data engineering experience with big data architectures and major cloud platforms.

• A minimum of 5 years programming experience in Python, Scala, or Julia.

• Active Secret clearance is required.

• Must be a U.S. citizen.

• Advanced proficiency in Microsoft Word, Excel, and Access.

• Advanced proficiency with statistical software and programming tools such as SPSS, SAS, Python, and R Shiny.

• Proven advanced research skills.

• A documented record of scientific publications.

• Proficient in English reading, writing, and speaking.

• Excellent verbal, written, interpersonal, and presentation abilities.

• Experience with cloud-based data storage and computational environments.

• Experience in deploying ML models using MLOps is advantageous.

• Experience with Agile delivery is a plus.

• Familiarity with Power BI is a plus.

• Certification or documented experience in human performance is preferred.

• Experience supporting Special Operations, athletics or sports programs, or military settings is preferred.

• Preferred technical and analytical skills in Power BI or Tableau, SQL, database management, predictive modeling, forecasting, and dashboard development.

🏝️ Benefits

• Flexibility and support for work/life balance.

• Medical, Dental, Vision, and Prescription plans.

• Partially funded Health Savings Account (HSA).

• Life Insurance coverage.

• Discounts on Auto, Home, Renters, and Pet Insurance.

• 401(k) Retirement Savings Plan with Company Match.

• Paid Time Off (PTO).

• Paid holidays.

• Extended sick leave.

• Short- and Long-Term Disability insurance coverage.

• Employee Assistance Program (EAP).

• An employee recognition platform.

• Tuition Reimbursement opportunities.

• Employee discounts and perks.

• Wellness programs and resources.

• Access to training programs, workshops, conferences, and ongoing learning opportunities.

• Coverage for licensure and certification renewal costs.

• Potential for short- and long-term incentives and program-specific awards.