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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.
What we are looking for:
- 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.Experience or strong interest in wrangling transactional grants datasets - including data cleaning, schema harmonization, entity resolution, and basic geospatial joins.
- Ability to translate analyses into decisions for a diverse set of stakeholders (program leads, analysts, and community partners) through clear writing, compelling visuals, and live briefings.
- Bachelor's degree with 2+ years of related experience
- Works on assignments requiring judgment and initiative under supervision.
- Develops solutions to technical problems of limited to moderate scope following established procedures.
- Works independently providing technical solutions to complex problems with considerable latitude in approaches.
- 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.
- Ability to obtain and maintain Public Trust
- Hybrid role can be located in Colorado Springs, CO, San Antonio, TX, Mclean, VA, Boston, MA or Tampa, FL
- May require up to 10% travel
- 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 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?
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: I Am, Because We are. We support our “nadi” 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.
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