
Data Scientist - Senior
- Saint Louis, MO
- Permanent
- Full-time
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Annual Paid Time Off and Paid Holidays
- Paid Parental Leave
- 401k with generous company match
- Training and Development Opportunities
- Award Programs
- Variety of Company Sponsored Events
- Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
- Lead and participate in the design of solutions and refinement of pre-existing processes
- Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
- Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
- Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
- Research and implement optimization models, strategies, and methods to inform data management activities and analysis
- Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
- Conduct peer reviews to improve quality of workflows, procedures, and methodologies
- Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge
- Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
- 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
- Experience supporting IC operations
- Python professionals with a strong background in data science, machine learning, and ETL pipeline development. Ideal candidates are proficient in Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and have hands-on experience with data preprocessing, statistical analysis, and building scalable ETL workflows
- Possess expert level knowledge to manipulate and analyze structured/ unstructured data
- Demonstrated experience in data mining and developing/maintaining/manipulating databases
- Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
- Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
- Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means
- Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction
- Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
- Experienced in conducting multi-INT and technology specific research to support mission operations
- Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format
- Possess Master's degree in Data Science or related technical field
- Experience developing and working with Artificial Intelligence and Machine Learning
- Experience building and maintaining GEOINT databases related to the area of interest needs.
- Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products