Data Scientist

Overview

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.

As a Data Scientist, you will work in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight. You will analyze available data sets and translate mission needs into an end-to-end analytical approach to achieve results and perform the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval. You will also support the development, learning and fielding of learned models and similar artificial intelligence techniques enabling the effective data to information to knowledge pipelines of applicable data sets.

• Determine the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence.
• Analyze and map potential data sets to mission value as applied to specific customer needs and outcomes.
• Interpret the validity of results and communicates the meaning of those results.

• Bachelor's degree with 18+ years of related experience, or Master's degree with 16+ years, or PhD with 15+ years.
• Has familiarity with data wrangling, analytics, and visualization software and programming languages, including analytics methods for big data.
• Follows a scientific approach to generate value from data, verifying results at each step.

• Experience supporting DoD, federal, or classified software programs.
• 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
• Familiarity with systems engineering processes and documentation.
• Exposure to Dev Sec Ops , CI/CD pipelines, or modern software delivery practices.
• Familiarity with DoD cloud deployment environments and tooling (i.e. AWS, Azure).
• Mentorship of junior engineers or informal technical leadership experience.

• Active Top Secret with SCI

• Onsite in Colorado Springs, CO or Arlington, VA
• May require up to 15% travel

• $160,000 - $220,000
• The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities

• 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!

We bridge the gap between humans and data through radical transparency and our obsession withthemission.

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.

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm.

Raft's core philosophy is Ubuntu: IAm, Because We are
. We support our by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.