Data Scientist: Predictive Analytics & ML

Booz Allen; Albuquerque (NM); Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen is seeking a Data Scientist to transform complex data into actionable insights that drive mission and business outcomes. You will work with structured and unstructured data to develop predictive models, analytics products, and dashboards for diverse stakeholders.

Applicants should have 3+ years of data science experience, proficiency in Python/R/SQL, and a Bachelor's degree. Familiarity with ML, visualization, and collaboration across teams is expected.

Qualifications

• 3+ years of experience in data science, analytics, or ML.
• Proficiency in Python, R, or SQL.
• Experience with EDA on large datasets and statistical methods.
• Experience building, evaluating, and deploying ML models.
• Ability to create visualizations and dashboards.
• Experience with version control.

Responsibilities

• Apply statistics, ML, and analytics to solve business and mission challenges.
• Analyze large datasets to identify trends and opportunities.
• Build and refine supervised and unsupervised ML models.
• Develop dashboards and analytical products for diverse audiences.
• Prepare, cleanse, and transform data for models and analytics.
• Collaborate with teams to design scalable analytics capabilities.
• Translate model outputs into actionable business recommendations.
• Contribute to analytics roadmaps and project planning.

Skills

Data science

Advanced analytics

Machine learning

Python / R / SQL

Education

Bachelor's degree

Tools

Python

R

SQL

Cloud platforms (AWS/Azure/GCP)

Job description

Booz Allen is seeking a Data Scientist to transform complex data into actionable insights that drive mission and business outcomes. You will work with structured and unstructured data to develop predictive models, analytics products, and dashboards for diverse stakeholders.

Applicants should have 3+ years of data science experience, proficiency in Python/R/SQL, and a Bachelor's degree. Familiarity with ML, visualization, and collaboration across teams is expected.