Senior Data Scientist
About The Position
Clarity Innovations is hiring a Data Scientist for a close-knit team supporting a U.S. Special Operations Command program at MacDill AFB. The team helps the command use its data to improve analysis and decision-making. The Data Scientist will serve as a subject matter expert, derive insights from complex data, assist with development initiatives, and support digital transformation efforts that contribute to mission readiness and organizational resilience. The role combines data analysis and data engineering. The Data Scientist designs, implements, and maintains data pipelines; interprets complex data; and plans, executes, and manages machine-learning projects using cloud-native platforms and advanced ML solutions. The work involves applying programming, mathematics, statistics, and domain knowledge to analyze data, build applied mathematical models, and communicate results. The role also requires working with large structured and unstructured datasets, distributed SQL, relational and non-relational queries, programming languages such as Python and R, and machine-learning techniques.
Requirements
- At least 1 year of hands-on Data Science experience.
- Bachelor's degree in a STEM field.
- Proficiency in one or more programming languages, such as Java, C++, Python, or R.
- Proficiency in Agile Development and Git operations.
- Secret Clearance.
- Demonstrated ability to work in a fast-paced environment with evolving requirements.
Nice To Haves
- Familiarity with the Department of Defense.
- Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or a related field.
- Experience with Maven Smart System or Palantir Foundry.
- Top Secret Clearance with SCI Eligibility.
- Logistics experience.
Responsibilities
- Interpret and analyze data using exploratory mathematical and statistical techniques based on the scientific method.
- Coordinate research and analytics using structured and unstructured data, and programmatically clean, massage, and organize data.
- Experiment with data, report findings, and identify previously undiscovered solutions to command data challenges.
- Coordinate with Data Engineers to build data environments that provide 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 models, natural language processing, robotic process automation, text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
- Design and automate processes for manipulating and analyzing data; manage and integrate dissimilar datasets; and analyze large-scale structured and unstructured data.
- Use frameworks such as Spark and Hadoop for large-scale data processing.
- Perform statistical modeling and create data visualizations using tools such as Tableau, Microsoft Power BI, and R Shiny.
- Research, design, and implement algorithms to solve complex problems.
- Program in R, Python (including NumPy, SciPy, and Pandas), or similar analytical languages.
- Perform data engineering, data processing, and modeling 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 non-technical audiences through digital storytelling.
Benefits
- Performance-based bonuses.
- Medical, dental, and vision coverage.
- 401(k) plan with company match.
- Substantial paid time off and holidays.
- Flexible work arrangements where possible.
- Income protection benefits.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
