Data Scientist
Acuity • Reston, VA1d
Data Scientist Jobs
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Data Scientist
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Data Scientist
Acuity•Reston, VA
About The Position
Acuity is looking for a Data Scientist to help shape next-generation cloud and analytics solutions that transform complex data into actionable intelligence for our clients. Acuity is a digital strategy and technology consulting firm that serves federal agencies with critical missions. Our experts support projects in the areas of IT Modernization, Data Enablement, and Hyperautomation to help protect our national interests and keep people safe. If you have technical experience and a passion for making a difference, we might be the right fit for you.
Requirements
- 10+ years of progressive experience designing, developing, and delivering advanced analytics solutions within enterprise or federal data environments.
- Demonstrated mastery in applying machine learning, statistical modeling, and data science methodologies to large-scale, high-dimensional, and mission-critical data sets.
- Deep expertise in quantitative analysis, forecasting, predictive modeling, deep learning, and optimization techniques to derive actionable business and operational insights.
- Extensive hands-on experience operating in Agile delivery environments to rapidly prototype, validate, and deploy scalable, production-ready analytics solutions.
- Advanced proficiency in two or more programming languages (Python, R, PySpark, or SQL) and demonstrated experience with both SQL and NoSQL databases, distributed computing frameworks, and modern data platforms such as Databricks and Apache Spark.
- Must be a U.S. Citizen with the ability to obtain and maintain a U.S. Government Suitability clearance.
Nice To Haves
- Prior experience leveraging AWS for machine learning and analytics workloads preferred.
Responsibilities
- Lead the discovery, design, and delivery of advanced analytics solutions that create measurable, data-driven value for internal stakeholders.
- Provide strategic and technical leadership across the entire analytics lifecycle, including opportunity scoping, architecture design, model development, validation, deployment, and performance optimization.
- Build, train, and operationalize predictive, prescriptive, and descriptive models using statistical and machine learning methods to produce reliable, actionable intelligence.
- Collaborate with data engineers, analysts, and business leaders to align analytical outputs with enterprise priorities and translate complex findings into clear, high-impact decisions.
Benefits
- Personalized development plans
- Mentorship
- Up to $3,000 annually for training and certifications
- Up to $3,000 for degree seeking programs
- Competitive compensation
- Comprehensive benefits
- Strong focus on work-life balance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
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