Senior Data Scientist: AI, NLP & DoD Analytics

Clarity Innovations, LLC; Florida; On-site; USD 112,000 - 190,000; Full time

Benefits offered by this job

Bonuses

Medical/Dental/Vision

401(k)

PTO & holidays

Flexible work arrangements

Income protection benefits

Job summary

Clarity Innovations seeks a Data Scientist for a U.S. Special Operations Command program at MacDill AFB. You will derive insights from complex data, support development initiatives, and drive digital transformation to enhance mission readiness.

You will design data pipelines, build ML models, and collaborate with Data Engineers to provide data environments. Strong statistical skills, programming in Python/R, and experience with cloud platforms are essential for success.

Qualifications

• Bachelor's degree in a STEM field is required.
• Minimum 1 year of hands-on Data Science experience.
• Proficient in one or more programming languages (e.g., Python, R, Java, C++).
• Proficient in Agile Development and Git operations.
• A Secret Clearance is required.

Responsibilities

• Interpret and analyze data using exploratory mathematical and statistical techniques.
• Coordinate research and analytic activities leveraging structured and unstructured data.
• Design, implement, and maintain data pipelines and ML projects.
• Collaborate with Data Engineers to build data environments.
• Develop predictive and prescriptive models and apply NLP, clustering, and forecasting.

Skills

Programming languages

Agile & Git

Statistical modeling

Data wrangling

Cloud platforms

Education

Bachelor's degree in STEM

Master’s degree (preferred)

Tools

Databricks

IBM Cloud Pak

Cloudera

Snowflake

Palantir Foundry

Maven Smart System

Job description

Clarity Innovations seeks a Data Scientist for a U.S. Special Operations Command program at MacDill AFB. You will derive insights from complex data, support development initiatives, and drive digital transformation to enhance mission readiness.

You will design data pipelines, build ML models, and collaborate with Data Engineers to provide data environments. Strong statistical skills, programming in Python/R, and experience with cloud platforms are essential for success.