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Data Scientist, Mid

BOOZ, ALLEN & HAMILTON, INC.Lorton, VA🇺🇸United States

Quick overview

Salary$77.6k - $176k/yr
SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationLorton, VA, United States
ETLTableauPythonMachine LearningPower BI

Job description

Data Scientist, Mid | Lorton, VA, United States | Hybrid | $77,600.00 - $176,000.00

We're hiring on behalf of a globally recognized professional services firm dedicated to solving complex challenges for both public and private sector clients. They are at the forefront of leveraging data science, machine learning, and artificial intelligence to drive impactful solutions across diverse fields such as national intelligence, fraud detection, and medical research. This is an opportunity to join a team that uses data for good and makes a real-world difference.

The Role

  • Unlock insights from complex datasets using advanced data science techniques.
  • Design and develop algorithms and automated analytic software.
  • Create ETL pipelines, query APIs, clean and condition data, and establish schemas for storage.
  • Advise clients by transforming disparate data points into objective answers for informed decision-making.
  • Guide project teammates and lead the development of innovative data solutions.

What You'll Need

  • Proficiency in data science programming languages like Python or R.
  • Experience with creating ETL pipelines, including data cleaning, conditioning, and API querying.
  • Knowledge of statistical analysis, predictive modeling, and machine learning methodologies.
  • Ability to design and develop automated analytic software and algorithms.
  • Experience generating compelling data visualizations using tools such as Tableau, Power BI, or ArcGIS.
  • A Bachelor's degree and a TS/SCI clearance.

What's On Offer

  • Opportunity to work on impactful projects that solve global challenges.
  • Access to professional development and tuition assistance programs.
  • A supportive work-life program with comprehensive benefits.
  • A culture that celebrates employee contributions and recognizes exceptional performance.

Apply via Haystack today!

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