Data Scientist, Mid

Job Name: Data Scientist

Level: Mid

Location: Arnold, MO

Remote Work: No

Required Clearance: TS/SCI

Position Type: Pending funding

• 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
• 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

• Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
• 5+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
• Mid-level proficiency in Python and other object-oriented programming languages.
• Demonstrated experience with relevant Python libraries including Pandas and Geopandas.
• Advanced experience using Python to automate complex workflows and integrate with cloud services.
• Proven experience with relational databases and web development tools, including API integration.
• Extensive experience in database administration and cloud-based data management.
• Deep knowledge of GEOINT products, data formats, and satellite imagery systems.
• Excellent communication skills with demonstrated ability to collaborate across organizations.
• Extensive experience developing and implementing process improvements.
• Experience using AI/ML for feature extraction, data enrichment, and predictive analytics

• Certifications in Python and other programming languages
• Experience implementing machine learning solutions
• Advanced experience with geospatial analysis and data manipulation
• Deep understanding of NGA systems including Custom Media Services, NSG Consolidated Library, and Gateway
• In depth understanding of Enterprise File Delivery (EFD)
• Practical experience with UNIX/Linux operating systems, particularly Red Hat Linux

Chopine Analytic Solutions IS an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, any other non-merit factor, or any other characteristic protected by law.