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Data scientist fort meade md

Job in Fort Meade, Anne Arundel County, Maryland, USA
Listing for: ESR Healthcare
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 151000 - 180000 USD Yearly USD 151000.00 180000.00 YEAR
Job Description & How to Apply Below

Data Scientist - Fort Meade, MD

Experience Level: Mid-senior

Experience Required: 8 Years

Education Level: Bachelor’s degree

Job Function: Information Technology

Industry: Defense & Space

Compensation: $151,000 - $180,000

Total Position: 1

Relocation Assistance: No

Visa Sponsorship Eligibility: No

Clearance Required: TS/SCI with Poly

is a government contractor, and our positions require US Citizenship.

Job Summary

is a Data Science consulting firm specialized in providing analytic solutions to clients in the Commercial and Government industries. We provide analytic solutions to hundreds of companies across numerous industries, offering a great variety in the type of work and exposure to a wide range of techniques and tools.

We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.

Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.

Position Responsibilities:

  • Develop machine learning, data mining, statistical, and graph-based algorithms to analyze datasets.
  • Prototype algorithms and decide upon final model based on suitable performance metrics.
  • Build models or develop experiments to generate data when training datasets are unavailable.
  • Generate reports and visualizations that summarize datasets and provide data-driven insights to customers.
  • Partner with subject matter experts to translate manual data analysis into automated analytics.
  • Implement prototype algorithms within production frameworks for integration into analyst workflows.
  • Required Degree and Experience:

    Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) + 7 years of experience, Masters Degree + 5 years of experience, or PhD + 2 years of experience.

    Required Skills:

  • Programming experience with data analysis software such as R, Python, SAS, or MATLAB.
  • Develop experiments to collect data or models to simulate data when required data are unavailable.
  • Develop feature vectors for input into machine learning algorithms.
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross-validation, ROC curves, confusion matrices).
  • Oversee the development of individual analytic efforts and guide the team in the analytic development process.
  • Guide analytic development toward solutions that can scale to large datasets.
  • Partner with software engineers and cloud developers to develop production analytics.
  • Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.
  • Salary and Benefit Information:

    Salary will be set based on experience, geographic location, and contractual requirements, which could possibly fall outside of this range.

    values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.

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