Start searching
Back to Jobs
Recently postedFull timeTechnology

Data Scientist

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

Why this role stands out

This hybrid Data Scientist role offers an exceptional opportunity to leverage your expertise in AI, IoT, and machine learning to solve critical global challenges across various sectors, with a competitive salary range of USD 77,600 - 176,000. You'll thrive here if you're passionate about uncovering insights from complex data, eager to collaborate with talented teammates, and excited to make a tangible impact through innovative data-driven solutions. Apply today to join a forward-thinking team and shape the future of data science!

Quick overview

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

Job description

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

This employer is a leading professional services firm, renowned for its work across both private and public sectors, tackling complex global challenges with data-driven solutions. They are seeking a skilled Data Scientist to leverage cutting-edge technologies like IoT, machine learning, and AI to extract actionable insights from vast datasets. Join a collaborative team dedicated to making a real-world impact.

The Role

  • Uncover insights and patterns within complex structured and unstructured datasets.
  • Develop and implement algorithms and systems to address client challenges.
  • Collaborate with clients to understand their needs and translate them into data science solutions.
  • Design and develop automated analytical software and techniques.
  • Utilize data exploration, cleaning, analysis, and visualization methodologies.

What You'll Need

  • Experience in data exploration, cleaning, analysis, visualization, data science, or data mining.
  • Proficiency in statistical and general-purpose programming languages like Python, R, or SQL.
  • Experience building ETL pipelines, including API querying and data conditioning.
  • Familiarity with version control tools such as Git, GitLab, GitHub, or Bitbucket.
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods.
  • Ability to use data visualization tools (e.g., Tableau, Power BI, COTS, or FOSS libraries).
  • TS/SCI clearance is required.
  • Bachelor's degree.

What's On Offer

  • A chance to apply data science for significant societal impact.
  • Opportunities for professional development and continuous learning.
  • Comprehensive benefits package including health, retirement, and paid leave.
  • A collaborative and supportive team environment.

Apply via Haystack today!

Similar jobs

Apply