Data Scientist (Remote)

This is a Fully Remote Job

About Our Client:

The organization operates within the domain of Special Operations Forces support, focusing on enhancing the readiness, performance, resilience, and long-term well-being of personnel and their families. It addresses critical challenges related to operational and health data integration to improve mission outcomes and personnel welfare across the Special Operations community.

About the Opportunity:

The DATA SCIENTIST role supports the Preservation of the Force and Family (POTFF) program by transforming complex operational and health data into actionable insights. This position contributes to evidence-based decision-making that advances mission readiness, resilience, and sustained performance for Special Operations personnel and their families.

Responsibilities:

• Perform data analysis and modeling on large datasets
• Apply data mining, natural language processing, and machine learning techniques to enhance algorithms
• Collaborate with product managers, engineers, and designers on experiments and product development
• Source, clean, and prepare data for modeling
• Develop and refine data features
• Conduct A/B testing and statistical analysis to evaluate optimizations
• Explore new design or technology approaches to improve user benefits
• Collect, validate, integrate, and analyze data from multiple sources including HPDMS
• Conduct exploratory, statistical, and predictive analyses to identify trends and risks
• Develop and maintain databases, reports, and automated dashboards
• Support survey design and analysis to guide program improvements
• Collaborate with cross-functional teams to translate findings into recommendations
• Develop and document analytical methods and tools addressing operational and health challenges
• Present findings clearly to technical and non-technical stakeholders while safeguarding sensitive data
• Perform additional duties as assigned

Requirements:

• Bachelor’s degree in a relevant field and minimum 3 years of relevant experience, or equivalent combination
• Advanced degree preferred in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or related fields
• 1-3+ years applying quantitative research using machine learning or deep learning
• Experience with machine learning/deep learning frameworks such as Scikit-learn, PyTorch, TensorFlow, or Keras
• Knowledge of algorithms including CNN, GAN, LSTM, RNN, XGBOOST
• Data engineering experience with big data platforms like Hadoop, SQL, HIVE, Spark, Snowflake on cloud services (AWS, Azure, Google Cloud)
• Programming skills in Python, Scala, or Julia
• Familiarity with cloud-based compute and storage environments like AWS Sagemaker, Azure Databricks, or GCP AI-platform
• Experience deploying ML models in production with MLOps is a plus
• Agile delivery experience is a plus
• Demonstrated leadership, self-direction, and willingness to teach and learn
• Strong communication skills to explain complex ideas clearly
• Presentation skills for diverse audiences
• PowerBI experience is a plus
• U.S. citizenship required
• Must hold or be eligible for an active U.S. Government Secret security clearance

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Benefits & Perks:

• Medical, dental, and vision insurance options
• 401(k) retirement savings plan with company match
• Paid time off including holidays and sick leave
• Paid maternity and paternity leave
• Disability coverage
• Tuition reimbursement
• Employee assistance program supporting physical, emotional, and financial well-being
• Employee recognition programs
• Wellness programs and resources
• Licensure and certification renewal support

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.