Resource Management Concepts, Inc. · 2 days ago

Senior Data Scientist

Indian Head, MD

Full-time

Onsite

Senior Level

5+ years exp

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Responsibilities

Collaborate with departments, divisions, branches, and IT teams to define data science projects that support the Command's strategic objectives

Provide tailored communications to innovation stakeholders in meetings, demos, and other customer engagements, as well as support analytic innovation, development, and data analytics; brief technical topics to a non-technical audience

Establish advanced analysis and data visualization methodologies, models, and tools to derive outcomes and impacts

Design and deliver infographics and dashboards across a range of media platforms

Leverage knowledge of databases and methodologies to determine appropriate sources, determine indicators and relationships, and generate intelligence support packages

Utilize machine learning algorithms and statistical modeling techniques

Utilize predictive data models, quantitative analyses, and visualization of targeted data sources; utilize data visualization tools (e.g., Tableau, PowerBI) and big data technologies (such as Hadoop, Spark)

Implement version control and branching strategies; manage overall configuration and control of data

Deliver data pipelines with an emphasis on quality, efficiency, and scalability; document data science work and participate in peer reviews

Identify and process raw data, trends, analysis, and assessments in order to aggregate disparate information

Analyze structured and unstructured data sources; handle, analyze and manage imperfect data; track trends and irregularities

Utilize data science tools and statistical programming languages (such as R, SQL, and Python)

Utilize Microsoft 365, Teams, SharePoint

Qualification

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Exploratory Data AnalysisProject DeliveryProblem-SolvingCommunicationTeamwork

Required

Candidate must possess a bachelor's degree in Mathematics, statistics, computer science, data science or field directly related to this position and 5+ years of overall experience in the field of data science; 3+ of those years should be with hands-on experience in data exploration, data cleaning, data analysis, data visualization and data mining

Strong analytical skills, with experience in analytics and exploratory data analysis

Must have strong problem-solving skills and experience juggling competing priorities

Candidate must have strong oral and written communication skills; track record of delivering data-driven projects

Experience working in a team environment