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Data Scientist

BOOZ, ALLEN & HAMILTON, INC.Laurel, MD🇺🇸United States

Why this role stands out

Leverage your expertise in data science and machine learning to solve critical global challenges, with a competitive salary range of $77,600 - $176,000 and hybrid flexibility. This mid-senior role offers excellent growth potential and the chance to make a significant impact across diverse sectors for those passionate about unlocking insights from complex data. Apply now to join a team dedicated to using data science for good.

Quick overview

Salary$77.6k - $176k/yr
SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationLaurel, MD, United States
SQLGitETLTableauIoTPythonMachine LearningPower BIData Analysis

Job description

Data Scientist | Laurel, MD, United States | Hybrid | $77,600.00 - $176,000.00

This employer is a globally recognised consultancy, renowned for tackling complex challenges across both public and private sectors through innovative data science solutions. They foster a culture where analytical professionals can make a tangible impact, leveraging cutting-edge technologies like IoT, machine learning, and artificial intelligence to solve critical global issues.

The Role

  • Apply expertise in data exploration, cleaning, analysis, visualization, and mining to extract meaningful insights.
  • Develop algorithms and systems by transforming disparate data points into objective, actionable answers.
  • Design and develop automated analytic software, techniques, and algorithms.
  • Collaborate closely with clients to understand their needs and translate complex data sets into impactful solutions.
  • Utilize a combination of tools and frameworks to manage and interpret diverse datasets.
  • Contribute to solving real-world problems, from fraud detection to national intelligence.

What You'll Need

  • Experience with data exploration, cleaning, analysis, visualization, and mining.
  • Proficiency in statistical and general-purpose programming languages for data analysis (e.g., Python, R, SQL).
  • Experience creating ETL pipelines, including querying APIs and conditioning data.
  • Knowledge of version control tools (e.g., Git, GitLab, GitHub).
  • Familiarity with statistical analysis, predictive modeling, and machine learning methods.
  • Ability to use data visualization tools (e.g., Tableau, Power BI, COTS software, open-source libraries).
  • A Bachelor's degree.
  • TS/SCI clearance.

What's On Offer

  • A chance to work on impactful projects with significant real-world application.
  • Opportunities for continuous learning and professional development.
  • Competitive salary and comprehensive benefits package.
  • A collaborative team environment focused on innovation and problem-solving.

Apply via Haystack today!

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