Sr. Data Scientist Mathematics Statistics

Key Skills

Microsoft-Excel, Java Programming, Python Programming, Database, SQL, Big Data Technology, MATLAB Programming, R Programming, Data Analysis

Job Description

• Data Scientist Mathematics Statistics
• Job Category: Science
• Time Type: Full time
• Minimum Clearance Required to Start: TS/SCI
• Employee Type: Regular
• Percentage of Travel Required: Up to 10%
• Type of Travel: Continental US

What You’ll Get to Do:

CACI is seeking a Mathematics / Statistical Scientist (Mid) to perform and manage the production of various products in coordination with project and program leadership.

• This position will support development and application of data mining analysis, aggregation, fusion, and visualization to process, analyze, and integrate raw data facilitating the production and dissemination of S&TI an GMI relating to foreign ground forces research, development, weapon systems, employment and operations. 
• The candidate shall integrate statistical data analysis with geospatial data and services to produce web services in an interactive map application.
• The work involves ensuring data is available in actionable, standard, and usable forms and the application of intelligence principles in concert with a practical knowledge of information technology to provide technical mission support.
• Using a flexible, analytical approach to design, you will develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• You will generate and test hypotheses, then analyze and interpret the results of product experiments.
• You will work with product engineers and/or practitioners to translate concepts and prototypes into new products, services, and features and provide guidelines for large-scale implementation. 

More About the Role:

• Processing, tagging/labeling/parsing/indexing unstructured, semi-structured, and structured classified and unclassified data sets.
• Developing research designs (including formulating testable questions, identifying and defining key concept and variables, and matching appropriate methods to problems.)
• Data project management (including cleaning and preparing data) and creating, structuring, and maintaining data sets.
• Data analysis and modeling (including manipulating datasets and interpreting findings using a mix of programs/environments (such as R, Python, Matlab, Excel) and techniques (e.g., text and pattern analysis, supervised and unsupervised data clustering, classification, change/anomaly detection, time-series, regression, geospatial, and/or social network analysis.)
• Develop process flows/visualizations and technological developmental roadmaps and capturing them in the appropriate databases and data analysis tools.
• Contribute to data-driven all-source analysis, assessment, and decision making and implement innovative methodologies which enhance production and dissemination activities.
• Use text/web data analytics for establishing and expanding keyword searches and using bibliometric analysis tools to perform horizon scans and deep dives into identified S&T research fields
• Provide knowledge/familiarity of technical language
• Provide experience with Big Data (parallel processing power and options for handling analysis of data)
• Understand the retrieval processes from databases using industry-standard query languages (e.g., SQL)

You’ll Bring These Qualifications:

• MS in related field; specifically, Computer Science, Computer Engineering, Mathematics, Applied Mathematics or related Engineering or Mathematics Field. Broader range of degrees may be considered if accompanied by a Certification in Data Science for an accredited college/university.
• At least 3+ years of experience

Experience in 2 or more of the following skill areas:

• Foundations (Mathematical, Computational, Statistical)
• Data Processing (Data management and curations, data description and visualization, workflow, and reproducibility)
• Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
• All candidates must have a current TS/SCI clearance and must be willing to submit to polygraph.

These Qualifications Would be Nice to Have:

• IC and the ODNI production process
• Experience programming in Python and a higher-level language such as C

What We Can Offer You:

• CACI’s mission places its personnel against the government’s most critical emerging challenges. Work with us, and you’ll be working with a team making a difference across the globe. 
• CACI offers competitive benefits as well as numerous learning and development opportunities for highly technical and engineering professionals. 
• As the Prime Contractor for this effort, CACI offers unmatched stability and growth potential within the program.