In a world of possibilities, pursue one with endless opportunities. Imagine Next! When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We’ve got what you’re looking for. **Job Description:** Parsons is looking for an amazingly talented **Data Scientist Intern** to join our team! In this role you will get to contribute to the development of a toolset that leverages HPC resources to provide an enduring capability for data ingestion, exploration, analytics, and reporting over potentially large, heterogeneous datasets. **What You'll Be Doing:** The intern will contribute to the development of a toolset that leverages HPC resources to provide an enduring capability for data ingestion, exploration, analytics, and reporting over potentially large, heterogeneous datasets. They will likely be involved in one or more of following focus points \#1- Analysis: + Become familiar with the test data domain + Conduct data exploration + Determine a set of appropriate data elements and analytic techniques + Develop explainable machine learning models + Generalize those models \#2- Scaling of workflows: + Prototype various configurations for scaling up existing analytical workflows on the HPC systems + Evaluating the approaches for effectiveness and performance \#3- Operations: + Become familiar with the existing toolset and processes + Become familiar with existing ML work, study best practices and tools for ML operations + Convert existing analysis into workflows + Implement appropriate approaches to productionize the work into deployed ML models and data products **What Required Skills You'll Bring:** + Some programming knowledge + General problem solving skills **What Desired Skills You'll Bring:** + Statistics and data analysis knowledge + Linux familiarity, operating in the Unix terminal + Python programming experience + Basic data science, machine learning knowledge and/or coursework + Software engineering experience (e.g. standing up web servers, working with Docker containers) **Minimum Clearance Required to Start:** Not Applicable/None This position is part of our Federal Solutions team. Our Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now. Salary Range: $21.44 - $37.55 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as 401K! Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!About Us Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide. Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+. For more about Parsons, visit parsons.com and follow us on Facebook, Twitter, LinkedIn, and YouTube.