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Data Scientist

Job in Albuquerque, Bernalillo County, New Mexico, 87101, USA
Listing for: Booz Allen
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 99000 - 225000 USD Yearly USD 99000.00 225000.00 YEAR
Job Description & How to Apply Below
Data Scientist

Data Scientist

The Opportunity:

We are seeking a Data Scientist to help transform complex data into actionable insights that drive mission and business outcomes. In this role, you will work with structured and unstructured data to identify trends, develop predictive and analytical models, and deliver data-driven solutions that support strategic decision-making. You will support cross-functional teams and stakeholders by applying advanced analytics, machine learning, statistical modeling, and visualization techniques to solve challenging problems.

Working alongside data scientists, engineers, analysts, and business leaders, you'll help develop scalable analytical capabilities while contributing to a culture of innovation and data-driven decision-making. You'll join a collaborative team focused on delivering data-driven solutions across a portfolio of projects, including business analysis, predictive analytics, machine learning, and emerging AI capabilities. The team partners with technical and non-technical stakeholders to transform data into actionable insights, develop predictive models, and deliver analytical solutions that support mission and business objectives.

This role is ideal for someone who enjoys exploring data, developing analytical products, communicating complex findings to various audiences, and influencing decisions through evidence-based insights. You'll have the opportunity to contribute to analytical strategy, support modernization initiatives, and help organizations maximize the value of their data assets.

Due to the nature of work performed within this facility, U.S. citizenship is required.

How You’ll Contribute
  • Apply statistical analysis, machine learning, and advanced analytics techniques to uncover insights and solve complex business and mission challenges.
  • Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support organizational objectives.
  • Build, evaluate, validate, and refine supervised and unsupervised machine learning models that generate actionable outcomes.
  • Develop dashboards, visualizations, and analytical products that effectively communicate findings and recommendations to technical and non-technical audiences.
  • Perform data preparation, cleansing, transformation, and feature engineering to support high-quality analytical solutions.
  • Collaborate with data scientists, engineers, analysts, and stakeholders to design and implement scalable analytical capabilities.
  • Translate technical analyses and model outputs into meaningful business recommendations and decision-support products.
  • Contribute to analytics roadmaps, project planning efforts, and strategic initiatives that align with organizational priorities.
  • Leverage modern analytical tools to develop scalable and sustainable solutions.
  • Promote best practices in reproducible analytics, model governance, documentation, and version control.
You Have
  • 3+ years of experience with data science, advanced analytics, or machine learning
  • Experience with Python, R, or SQL
  • Experience performing exploratory data analysis on large datasets and applying statistical techniques to solve complex problems
  • Experience developing, evaluating, and implementing supervised and unsupervised machine learning models
  • Experience creating visualizations, dashboards, and analytical products
  • Experience using a version control platform
  • Ability to translate technical findings into actionable recommendations for non-technical audiences
  • Bachelor's degree
Nice If You Have
  • Experience leading data science initiatives or coordinating cross-functional analytical efforts
  • Experience with project management
  • Experience with cloud computing platforms, including AWS, Azure, or Google Cloud Platform
  • Experience mentoring…
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