Mid Level Data Scientist

location_onWashington, District of Columbia, United Statespayments$130,000 – $145,000/yrschedule10 hours ago
apartmentWork style:On-site
trending_upExperience level:Mid-level
badgeEmployment:Full-time
historyMinimum experience:6+ years
schoolEducation:Bachelor’s degree
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Job description

About the OrganizationNow is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

About the Role

Redhorse transforms the way government uses data and technology. To support this vital mission, we are seeking an executive-level Mid-Level Data Scientist to support the National Security Branch (NSB) and executive-level priority programs.

In this role, you will be at the forefront of modernizing national security missions by designing and deploying advanced machine learning models, custom algorithms, and data workflows across complex law enforcement, intelligence, investigative, and business datasets. You will collaborate directly with government stakeholders to translate sophisticated data science discoveries into actionable, mission-critical decisions.

Key Responsibilities

  • Lead and design machine learning, statistical analysis, and data analysis tasks across multiple projects of varying complexity.
  • Collaborate with internal and external government stakeholders to identify areas for improvement in workflows or systems.
  • Design new approaches to handling, analyzing, and using large volumes of law enforcement, intelligence, investigative, and business data sets.
  • Develop custom data models, algorithms, and software code to optimize data search and retrieval processes.
  • Use modern tools and computer programming languages, including Python scripts, to collect, wrangle, and process data.
  • Design, test, and validate the quality, integrity, and performance of data and automated data processes.
  • Coordinate across functional teams to deploy predictive models and monitor operational outcomes.
  • Analyze findings and present actionable, data-driven recommendations to executive leadership.
  • Develop visualizations, infographics, and charts to communicate results and derived findings effectively to non-technical audiences.

Required Experience/Clearance

  • 6 years of experience as a Data Scientist or equivalent data-centric role (e.g., Data Analyst, Data Engineer).
  • 6 years of experience utilizing multiple programming languages and statistical packages, alongside modern dataset and Artificial Intelligence/Machine Learning (AI/ML) tools.
  • 6 years of experience utilizing data systems to acquire, extract, and prepare data for research, exploration, or statistical analysis.
  • 6 years of experience conducting exploratory data analysis to interpret complex data trends and anomalies.
  • 6 years of experience cleaning, manipulating, munging, and sub-setting large datasets for analytical workflows.
  • 6 years of demonstrated experience communicating technical analysis and findings to non-technical stakeholders using summary visualizations and tables.
  • Demonstrated ability to learn rapidly and operate effectively both independently and within cross-functional team environments.
  • Ability to obtain and maintain the required U.S. Government Security Clearance suitable for National Security Branch (NSB) programs.

Desired Experience

We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:
  • Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Science, Physical Sciences, or a relevant analytical discipline.
  • Experience applying the latest technologies and methodologies in data mining, predictive analytics, and machine learning to correlate disparate data sets and investigative events.
  • Advanced Python programming proficiency and clean code development utilizing common machine learning frameworks and data science libraries.
  • Advanced SQL and database management experience, including writing complex queries, optimizing database operations, and architecting basic ETL (Extract, Transform, Load) pipelines.
  • Practical experience developing, training, and tuning both supervised and unsupervised machine learning models.
  • Experience designing interactive BI dashboards and presentation-ready visual analytics for senior government leaders.
  • Experience using version control systems (such as Git) to manage collaborative code repositories.
The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.

Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at [email protected] Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

Skills mentioned


Cybersecurity, Data Analytics, Engineering Services, Financial Services, Government, IT Services, Technology Consulting
Washington, District of Columbia, United States

At Redhorse Corporation, our culture is built on a foundation of smart people generating great ideas for shared success. We are a collective of problem solvers, motivators, and achievers dedicated to making a tangible difference. Our core belief is in the power of our people; their intelligence and drive are our greatest assets. We foster an environment where collaboration is key, enabling us to deliver impactful results that distinguish both our clients and ourselves. Our history of success is a direct reflection of our sharp, forward-thinking employees. We champion innovative ideas, believing that good people are the source of outstanding concepts. Passion and inspiration are the fuels that drive our pursuit of results, cultivated within a sincere and creative atmosphere. We embrace a collaborative methodology to tackle challenging problems, encouraging open dialogue that flows seamlessly between employees and leadership, free of barriers. Our mission is to transform the way government interacts with and utilizes data and technology. We are customer-centric, forming partnerships grounded in trust and transparency that allow us to comprehend client problems on a profound level. We are mission-focused, adept at navigating complex issues and providing the right solutions to help our clients make meaningful decisions, mitigate risks, and overcome challenges with next-level ideas. Since our inception in 2008, we have been committed to providing management and technology consulting and engineering services. We partner with our government and Fortune 500 clients to address their mission, business, security, compliance, and operational challenges, both now and into the future. Our approach combines talented and passionate individuals, proven processes, and the application and integration of technology and data science to create distinct customer value. We strive to do meaningful work in support of our nation's needs, provide an excellent work environment for our employees, and make a positive impact in the communities where we operate. We are committed to Equal Employment Opportunity and to attracting, retaining, developing, and promoting the most qualified individuals.

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