Data Scientist II (Remote)

This role supports the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program by identifying and implementing innovative, high-value solutions across the Special Operations Forces (SOF) enterprise. U.S. citizenship and an active U.S. Government Secret security clearance (or eligibility to obtain and maintain one) are required. This position is pending upon contract award.

Responsibilities

• Perform hands-on data analysis and modeling with large data sets.
• Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve 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 sources for modeling.
• Create and refine features from underlying data.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions, and communicate results to peers and leaders.
• Explore new design or technology shifts to determine their potential impact on customer benefits.
• Conduct advanced data analytics, manipulation, mining, exploratory analysis, predictive analysis, and statistical analysis.
• Translate and correlate data into graphical, written, visual, and verbal narratives to support informed decision-making.
• Enter, maintain, and analyze data within government systems.
• Develop and maintain dashboards that automate analysis and identify trends in POTFF program data.
• Assist POTFF staff with survey design, analysis, and reporting of survey results.
• Advise supported units and POTFF staff on opportunities and methods for capturing data related to POTFF programs and initiatives.
• Collaborate with POTFF program staff and the Government’s POTFF biostatistician.
• Provide subject matter expertise in program evaluation, research methodologies, and data analysis.
• Use statistical modeling and data visualization techniques to identify trends, outliers, and patterns, producing reports and presentations that communicate mission-relevant findings.

Requirements

• Master’s degree in quantitative science, social science, or a related discipline.
• Three or more years of research experience in an academic, social services, government, healthcare, or laboratory setting.
• Advanced proficiency with Microsoft Office applications (Word, Excel, Access) and statistical software/tools (SPSS, SAS, Python, R Shiny).
• Demonstrated advanced research proficiency through relevant employment in academia or another research-focused environment.
• Demonstrated record of scientific publications.
• Ability to read, write, and speak English fluently and clearly.
• Excellent verbal, written, interpersonal, and presentation skills with strong attention to detail.
• Demonstrated initiative, interpersonal effectiveness, and cultural awareness when working with diverse backgrounds.
• Active Secret clearance and U.S. citizenship.
• B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a related technical field (required).
• Advanced degree in a related field (preferred).
• 5+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow, Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
• 5+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake) on major cloud platforms (AWS, Azure, Google Cloud).
• 5+ years of programming skill in Python, Scala, or Julia.
• Working knowledge of modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP).
• Experience deploying ML models into production using MLOps (a plus).
• Experience working in an agile delivery model (a plus).
• Demonstrated leadership and self-direction.
• Willingness to teach others and learn new techniques.
• Ability to communicate complex ideas clearly, precisely, and actionably.
• PowerBI experience (a plus).

Preferred Skills

• Doctoral degree in quantitative science, social science, or a related discipline.
• Certification or documented experience in human performance.
• Experience supporting Special Operations, athletics or sports programs, or other military environments.
• Strong technical and analytical capabilities in data visualization tools (Power BI, Tableau), SQL querying, database management, business analytics, predictive modeling, and dashboard development.

Benefits

• Flexible work/life balance support tailored to personal and professional needs.
• Robust health and insurance benefits, including Medical, Dental, Vision, and Prescription plans, plus a partially funded HSA.
• Life Insurance and discounts on Auto, Home, Renters, and Pet Insurance.
• 401(k) Retirement Savings Plan with Company Match.
• Generous time away from work: PTO, paid holidays, extended sick leave, and Short/Long Term Disability coverage.
• Employee Assistance Program (EAP) for physical, emotional, and financial well-being.
• Employee recognition platform to celebrate achievements.
• Tuition Reimbursement for continuing education and professional development.
• Exclusive employee discounts, special offers, and perks.
• Wellness programs and resources for overall health.
• Career development opportunities through training programs, workshops, conferences, and ongoing learning.
• Licensure and certification support, including coverage for renewal costs.

Pay

Annual salary range: $115,175.00 – $159,125.00. Compensation is based on job location, education, training, experience, expected quality and quantity of work, required travel, and internal value analysis. Additional rewards may include short- and long-term incentives, as well as program-specific awards. Benefits such as health insurance, life and disability insurance, retirement savings plans, paid holidays, and paid time off are also provided.