Why This Role Stands Out
Leverage your expertise in data exploration, machine learning, and programming languages like Python or R to solve complex global challenges with Booz Allen Hamilton's renowned team. This hybrid role offers excellent growth potential and a competitive salary range of $77,600 - $176,000, making it an ideal opportunity for mid-senior data scientists eager to make a significant impact. Apply today to join a mission-driven organization and unlock the power of data for good.
Quick Overview
Job Description
Data Scientist | Upper Marlboro, MD, United States | Hybrid | $77,600.00 - $176,000.00
This employer is a globally recognised leader in professional services, renowned for tackling complex challenges across both public and private sectors through cutting-edge data analytics and artificial intelligence. They are looking for a passionate Data Scientist excited by the prospect of turning intricate datasets into actionable insights that drive significant impact. Join a collaborative environment where you'll leverage advanced technologies to solve critical global issues, from fraud detection to national intelligence.
The Role
- Work with clients to understand their challenges and translate them into data-driven questions.
- Explore, clean, analyze, and visualize complex structured and unstructured data sets.
- Develop and implement algorithms and predictive models using statistical and programming techniques.
- Design and build automated analytic software and systems.
- Create ETL pipelines to extract, transform, and load data from various sources, including APIs.
- Collaborate with a team of experts to deliver objective answers and informed decision-making for clients.
What You'll Need
- Proven experience in data exploration, cleaning, analysis, visualization, or mining.
- Proficiency in statistical and general-purpose programming languages such as Python, R, or SQL.
- Experience building ETL pipelines, querying APIs, and data conditioning.
- Familiarity with version control tools like Git, GitLab, GitHub, or Bitbucket.
- Solid understanding of statistical analysis, predictive modeling, and machine learning methods.
- Ability to design and develop automated analytic software, techniques, and algorithms.
- Ability to utilize data visualization tools such as Tableau, Power BI, or libraries like seaborn, matplotlib.
- A Bachelor's degree.
- TS/SCI clearance is required.
What's On Offer
- Opportunity to apply data science for good and make a tangible impact on global challenges.
- Collaborative work environment with opportunities to learn from and work with experienced professionals.
- Access to a wide range of benefits including health, retirement, paid leave, and professional development.
- Tuition assistance for continuous learning and career growth.
- Potential for working with advanced technologies like IoT, machine learning, and artificial intelligence.
Apply via Haystack today!
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