Why This Role Stands Out
Leverage your data science expertise and a competitive salary range of $77,600 - $176,000 to solve global challenges with Booz Allen Hamilton, a renowned leader in technology solutions. This hybrid role offers you the chance to develop cutting-edge algorithms and create real-world impact by transforming complex data into actionable insights for diverse clients.
Quick Overview
Job Description
Data Scientist, Mid | Kensington, MD, United States | Hybrid
We're hiring on behalf of a leading global consulting firm, renowned for its expertise in solving complex challenges across government and commercial sectors. This organization leverages cutting-edge technology and data science to drive innovation and deliver impactful solutions. They foster a collaborative environment where professionals can make a real-world difference.
The Role
- Utilize data science expertise to analyze complex datasets and extract meaningful insights.
- Develop and implement machine learning algorithms and predictive models.
- Design and build automated analytic software and systems.
- Create robust ETL pipelines for data ingestion, cleaning, and conditioning.
- Generate compelling data visualizations to communicate findings to stakeholders.
- Work closely with clients to understand their needs and translate them into data-driven solutions.
What You'll Need
- Proficiency in data science programming languages such as Python or R.
- Experience creating ETL pipelines, including API querying, data cleaning, and schema design.
- Solid understanding of statistical analysis, predictive modeling, and machine learning methodologies.
- Ability to design and develop automated analytic software, techniques, and algorithms.
- Experience integrating and extending open-source or commercial software.
- Skill in generating data visualizations using tools like Tableau, Power BI, or ArcGIS.
- Bachelor's degree.
- TS/SCI clearance.
What's On Offer
- Opportunity to work on impactful projects that address global challenges.
- Collaborative and supportive team environment.
- Access to cutting-edge tools and technologies.
- Professional development and learning opportunities.
Apply via Haystack today!
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