Senior Principal Data Scientist

About the role

This role is for a Senior Data Scientist on a close-knit team supporting a U.S. Special Operations Command program at MARSOC at Camp Lejeune, NC. The team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Senior Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.

Responsibilities

• Design, implement, and maintain data pipelines.
• Interpret and analyze complex data sets using exploratory mathematical and statistical techniques.
• Plan, execute, and manage machine learning projects on cloud-native platforms and advanced ML solutions.
• Apply data mining, natural language programming, and machine learning methodologies.
• Combine programming, mathematical modeling, statistics, and domain knowledge to analyze data, create applied mathematical models, and present results in a form useful to the organization.
• Understand and manipulate structured and unstructured large data sets using distributed SQL programming, relational and non-relational data queries, and general programming languages (such as Python and R).
• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiment against data points, provide information based on experiment results, and provide previously undiscovered solutions to command data challenges.
• Coordinate with Data Engineers to build data environments providing data identified by other data professionals.
• Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
• Develop predictive and prescriptive modeling, natural language processing (NLP), robotic process automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
• Design and automate processes to facilitate the manipulation and analysis of data.
• Manage and integrate data across dissimilar data sets.
• Analyze large-scale structured and unstructured data using frameworks such as Spark and Hadoop.
• Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI, and R Shiny.
• Research, design, and implement algorithms to solve complex problems.
• Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
• Perform data engineering, data processing, and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
• Communicate complex concepts and hypotheses to a non-technical audience through digital storytelling.
• Instruct others on the use of data science practices and capabilities.

Requirements

• A minimum of 6 years of hands-on data science experience.
• A Bachelor’s degree in a STEM field.
• Proficiency in one or more programming languages (Java, C++, Python, R, etc.).
• Demonstrated experience applying data science methods to real-world data problems.
• Proficiency in Agile Development and Git Operations.
• A Secret Clearance.

Preferred Qualifications

• Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
• A Top Secret Clearance with SCI eligibility.

Pay

$106,000 – $249,000