Data Scientist - TS/SCI at Xcelerate Solutions

Are you an experienced Data Scientist passionate about cutting-edge data analytics? Xcelerate Solutions is seeking a skilled Data Scientist to support the advancement of mission-focused big data and predictive analytics. Join us to deliver advanced data science capabilities that drive national security objectives, swiftly produce and analyze results, and disseminate actionable intelligence insights.

Location:

Bethesda, MD

Clearance:

TS/SCI

Key Responsibilities:

• Collaborate with a team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform.
• Analyze a variety of big data related to national security, cyber security, business intelligence, online social media, human behavior, and more.
• Support multiple simultaneous projects and independently make discoveries that are mission-relevant. Communicate findings to a non-technical audience.
• Utilize your blend of intellectual curiosity, quantitative acumen, and customer-focus to identify novel data sources, improve predictive algorithm performance, and promote user adoption of data analytics platforms.
• Leverage your background in research design, exploratory analysis, quantitative methods, and customer outreach to solve complex problems.

Minimum Requirements:

• Bachelor’s Degree and 12-15 years of experience or Master’s with 10-13 years of relevant experience in fields like Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science.
• 10+ years of experience in data science, analytics, or quantitative intelligence analysis with progressive technical development.
• Must possess a TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.
• Proficiency in scripting languages such as R or Python.
• Experience working with hybrid teams of analysts, engineers, and developers to build and deploy complex algorithms and analytical platforms.
• Demonstrated experience in data analytics or big data research and development.
• Strong background in problem-solving and active learning.
• Ability to analyze software development or data acquisition requirements and find cost-effective solutions.

Preferred Qualifications:

• Experience in data analytics supporting military or intelligence community customers.
• Experience dealing with data classes such as open source, PAI, forensic media, MASINT, or cybersecurity.
• Knowledge of technology like knowledge graphs, databases (e.g., SQL, NoSQL, Elasticsearch), containerization (e.g., Docker, Kubernetes), and version control (e.g., Git).
• Experience with AWS/C2S and optimizing machine learning software for GPU use.
• Proficiency in creating dashboards and prototype web applications using technologies like Kibana, Apache Superset, Streamlit, Gradio, and Plotly Dash.
• Ability to write REST and gRPC APIs using technologies such as FastAPI or Flask.

About Xcelerate Solutions:

Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions is one of America's fastest-growing companies. Our culture is defined by a diverse and dynamic workforce that thrives on professional growth and development. Recognized as one of the “50 Best Places to Work” by the Washington Business Journal and certified as a “Great Place to Work” with a 4.6 star, 99% CEO approval rating on Glassdoor, Xcelerate Solutions stands out as one of the top employers in the DC Metro area. Join our award-winning team today!

Equal Employment Opportunity:

Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or any other protected characteristic. We provide reasonable accommodations to qualified individuals with disabilities.

Pay Transparency Notice:

Xcelerate Solutions will not discharge or discriminate against employees or applicants for inquiring, discussing, or disclosing their own pay or the pay of another employee or applicant.