Mid Level Data Scientist

Job Description

Job Description

About the Organization

Now 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 Talent- View email address on us.fitly.work

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.