Data Scientist

Responsibilities

• Quantitative analysis of data sets using exploratory mathematical and statistical analysis.
• Coinciding data analytic research activities applied to structured and unstructured data sets.
• Providing novel solutions to command data challenges through experimentation, by applying scientific methodology and statistics to frame problems and test hypotheses.
• Applying natural language processing (NLP) methods, clustering techniques and predictive modeling to generate insights.
• Designing and automating processes to facilitate the manipulation and analysis of data across dissimilar and large-scale data sets; cleaning and organizing data sets.
• Utilizing frameworks such as Spark and Hadoop for large-scale data processing.
• Creating data visualizations using products like Tableau or Power BI.
• Researching, designing, and implementing algorithms to solve complex problems using R, Python (NumPy, SciPy, Pandas), or similar scientific programming languages.
• Performing statistical modeling and machine learning on cloud-based ML platforms.
• Communicating complex concepts and hypotheses to a non-technical audience.

Requirements

• Bachelor’s degree in a STEM field; a Bachelor's degree in a related field is acceptable with verifiable work experience.
• Proficiency with one or more programming languages such as Python, R or Java.
• Demonstrated experience applying data science methods to real-world data problems.
• Proficiency in Agile Development and Git Operations.
• Experience creating, maintaining, and communicating complex technical documentation and analytical reporting.
• Ability to obtain an Interim Secret clearance within 30 days of hire.

Qualifications

• Master’s degree in Data Science, Applied Mathematics, Statistics, Physics, or Computer Science.
• Experience with the Sponsor’s primary cyber risk and compliance automation tools.

Skills

• Programming languages: Python, R, Java.
• Data analysis and visualization tools: Tableau, Power BI.
• Statistical modeling and machine learning frameworks: R, Python (NumPy, SciPy, Pandas).
• Agile development methodologies.
• Knowledge of Spark and Hadoop for large-scale data processing.

Benefits

• Interim Secret clearance and the ability to obtain and maintain TS/SCI.

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