Data Scientist
RaftColorado Springs, CO$115k – $180kPosted 23 April 2026
Tech Stack
Job Description
This is a U.S. based position. All of the programs we support require
U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.
Who we are:
Raft ( https://TeamRaft.com ) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development, with headquarters in McLean, VA. Our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.
About the role:
As a Data Scientist, you will work in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight while translating mission needs into an end-to-end analytical approach to achieve results. Your role involves performing pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval.
You will determine appropriate analytics based on data and desired outcomes using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence. You'll interpret the validity of results and communicate the meaning of those results while following a scientific approach to generate value from data, verifying results at each step.
This role is contingent on contract award.
What we are looking for: Associate: Bachelor's degree with 2+ years of related experience or Master's degree. Works on assignments requiring judgment and initiative under supervision. Develops solutions to technical problems of limited to moderate scope following established procedures.
Standard: Bachelor's degree with 5+ years of related experience, Master's degree with 3+ years of experience, or PhD. Works independently providing technical solutions to complex problems with considerable latitude in approaches.
Senior: Bachelor's degree with 9+ years of related experience, Master's degree with 7+ years of experience, or PhD with 4+ years of experience. Recognized authority providing innovative solutions to complex technical problems and leading advanced development efforts.
Experience with data wrangling, analytics, visualization software and programming languages, analytics methods for big data, machine learning, natural language processing, statistical analysis, and data mining techniques.
Highly preferred:
Advanced degrees in data science, statistics, or related fields.
Experience with big data platforms and tools.
Knowledge of scientific research methodologies and result validation techniques.
Clearance Requirements:
Active Top Secret with ability to obtain and maintain SCI
Work Type:
Onsite in Colorado Springs, CO
May require up to 10% travel
Salary Range:
$115,000 - $180,000
The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities
What we will offer you:
Highly competitive salary
Fully covered healthcare, dental, and vision coverage
401(k) and company match
Take as you need PTO + 11 paid holidays
Education training benefits
Generous Referral Bonuses
And More!
Our Vision Statement:
We bridge the gap between humans and data through radical transparency and our obsession with the mission.
Our Customer Obsession:
We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.
How do we get there ... (truncated, view full listing at source)
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