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Chopine Analytic Solutions

Data Scientist, Senior

Chopine Analytic Solutions, Saint Louis, Missouri, United States, 63146

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Job Name: Data Scientist

Level: Senior

Location: St. Louis, MO (NCW)

Remote Work: No

Required Clearance: TS/SCI

Position Type: Pending funding

Responsibilities

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

Required Qualifications

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

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

Desired Qualifications

Possess Master's degree in Data Science or related technical field

Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)

Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.

Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.

Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data 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

Chopine Analytic Solutionsis 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.

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