Data Scientist
$66K-$111K (Glassdoor est.)
About U.Group
U.Group is an advanced technology and creative design company radically focused on using customer-centric innovation to create new opportunities in the public and private sectors. Working collaboratively out of offices in Arlington, VA, Washington, DC, Portland, OR, and in the heart of the action at client sites—U.Group delivers best-in-class digital services, powerful data platforms, augmented reality solutions, integrated marketing strategies, bundled services, and more. To learn more, visit www.U.Group.

Role Summary
Data Science at U.Group is dedicated to designing and engineering advanced data processing and analytics tools to drive the next generation of decision-making. You will join a diverse interdisciplinary team designing and integrating augmented intelligence capabilities into products and services. Our goals and ambitions are bigger than any one individual. As such, you will join a collaborative team where our knowledge and strengths are complementary. We emphasize cooperative education, where we continually expand and refine our craft. Your talent in software development will be just as important as your understanding of databases, statistics, and machine learning. Your creativity and ingenuity will be needed to solve challenging problems. Ultimately, you will be part of a broad team geared towards delivering quality products and services to our clients, communicating and collaborating with engineers, economists, marketing strategists, and designers, to name a few.

Citizenship Status: US Citizenship required and have resided in the U.S. for three of the past five years.
Location: Washington, DC | Arlington, VA | Portland, OR | Indianapolis, IN
Clearance: Current, or have the ability to obtain, public trust or higher security clearance

Minimum Qualification Requirements
This position is for one of our programs supporting the federal government. As part of the hiring process for programs like this, each candidate’s resume is evaluated against a strict set of requirements defined by the government client. For a candidate to be found “minimally qualified”, their resume must clearly illustrate all the requirements. For more information on preparing a federal resume, check out this GitHub Repo: https://github.com/rooneywp/govcon-hiring-guide/blob/master/resume_prep_guide.md
The minimum qualification requirements for this position are:
Shall have a minimum of five (5) years of experience in the Information Technology field focusing on AI/ML development projects, DevSecOps and technical architecture specifically.
Shall have experience with architecture & design experience, including at least three (3) years of experience deploying production enterprise applications in AWS that use AI/ML.
Shall have experience with large scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS.
Shall have, at a minimum, a Bachelor’s degree in Computer Science, Information Technology Management or Engineering.
Objective 1: Plan, develop, and maintain data processing pipelines, algorithms, and machine learning models for products and services.
Design, document, and communicate data processing pipelines to support efficient analysis, modeling, and data science operations.
Implement, integrate, and test data processing pipelines.
Deploy and monitor data processing pipelines in production environments, including deploying within cloud environments such as AWS.
Leverage continuous integration and delivery systems to deploy high quality software to a production environment.
Objective 2: Plan, develop, train, and maintain advanced analyses, artificial intelligence systems, and/or machine learning models for products and services
Design, document, and communicate requirements for AI and machine learning models to be embedded within larger projects.
Implement, integrate, and test AI and machine learning models.
Train, deploy, and monitor AI and machine learning models in production environments, including deploying within cloud environments such as AWS.
Track performance of AI and machine learning models as they operate within larger projects.
Objective 3: Perform exploratory data analysis and communicate insights to customers and the product team.
Collect, transform, and combine varied, messy, or unstructured data into consistent inputs, independently of any larger project or process.
Compute statistics of, identify key features of, and extract key insights from cleaned, collected data.
Produce demonstration visualizations, summarize key insights, and create reports from cleaned, collected data.
Objective 4: Collaborate with cross-functional delivery teams that include data engineers, experience designers, engineers, project management, and customer stakeholders.
Use and upgrade shared templates and tools to build and optimize our products into innovative industry leaders.
Support efforts of fellow data scientists, engineers, visualizers, and architects.
Collaborate directly with customers to problem solve and prototype potential solutions based on defined requirements.
Communicate AI, machine learning, and data modeling concepts and entity relationships to peers and customer partners.
Objective 5: Provide Subject Matter Expertise for team growth, business development activities, and solution strategy development.
Assist stakeholders, including the Data, Product, Program, and Executive teams, with data-related technical issues and support their data science needs.
Consistently report status of work to project and account management.
Provide expert opinion and knowledge to project and account management, as well as business development efforts.
Life at U.Group
We encourage our colleagues to lead balanced lives. Our comprehensive benefits include medical, dental, vision, disability, wellness programs, flexible spending, 20 days paid time off, and paid holidays. We also offer:
Flex Time and Remote Work Options
Education reimbursement program
Fitness Reimbursement
Transit/parking subsidy program
Parental Leave Policy
Professional Development Program
401(k) with Company Match

EQUAL EMPLOYMENT OPPORTUNITY – Our policy is to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, we will provide reasonable accommodations for qualified individuals with disabilities.

U.Group shall abide by the requirements of 41 CFR §§ 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals on the basis of protected veteran status or disability, and require affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified protected veterans and individuals with disabilities.
U.Group
3.5
U.Group
