Clarity Innovations is looking to solve national security challenges by empowering the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.
Requirements
- Proficient with one or more programming languages (Java, C++, Python, R, etc.)
- Proficient in Agile Development and Git operations
- Experience with cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake
- Experience with distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques
- Familiarity with data mining, natural language programming, and machine learning
- Experience with R, Python (NumPy, SciPy, Pandas) or similar analytical languages
- Experience with data engineering, data processing and modeling techniques
Responsibilities
- 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.
- 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.
- Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
Other
- A minimum of 1 year of hands-on Data Science experience is required
- Bachelor's Degree in a STEM field is required
- An Interim Secret clearance within 30 days of hire is required
- Ability to work on-site in secure spaces
- Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields (preferred)
