Data Scientist, Mid

Booz Allen Hamilton • Coronado, CA

1d • $77,600 - $176,000

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients address challenges across public and private sectors. You will work with clients to understand their questions and needs, explore data-rich environments, and develop algorithms and systems that turn disparate data into objective answers and informed decisions. The work applies data science, machine learning, and AI to create practical impact and help clients understand what their data means and how it can be used.

Requirements

• Experience with Python, SQL, and open-source machine-learning libraries.
• Experience analyzing structured and unstructured data and developing predictive models, algorithms, and data products.
• Experience applying regression, clustering, decision trees, and neural networks.
• Knowledge of statistical analysis, model validation, experimental design, and A-B testing.
• Ability to work with stakeholders and subject-matter experts to assess data quality, identify analytic opportunities, and deliver actionable decision support.
• Active Secret clearance is required; applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
• Bachelor's degree and 3+ years of experience in data science, data analytics, or statistical modeling; or associate degree and 7+ years of such experience; or 9+ years of such experience in lieu of a degree.

Nice To Haves

• Experience supporting Naval Aviation, Marine Corps, readiness, maintenance, supply, force-generation, or enterprise analytics efforts.
• Experience building data pipelines, ETL processes, or automated reporting using PySpark, Databricks, Python, SQL, or similar tools in cloud or distributed-computing environments.
• Experience with Tableau, Qlik, Power BI, or front-end/UI development for dashboards and self-service analytics products.
• Experience with discrete-event simulation, process modeling, optimization, or other operations-research methods.

Responsibilities

• Analyze structured and unstructured data.
• Develop predictive models, algorithms, and data products.
• Apply statistical and machine-learning methods to produce useful insights and decision support.
• Work with clients, stakeholders, and subject-matter experts to understand questions and needs, assess data quality, and identify analytic opportunities.
• Develop algorithms and systems using appropriate tools and frameworks to transform disparate data into objective answers.
• Deliver actionable decision support to help clients make informed decisions.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level