Data Scientist Intern

2 weeks ago

Atlanta, United States Spelman College Full time

Sponsorship is not available for this role. At GDIT, our people are our business. We pride ourselves on the work our innovators do to support and secure some of the most complex government, defense, and intelligence projects across the world. We wouldn’t be successful without our ability to attract new talent to join our team. What sets a GDIT internship experience apart from other organizations in the industry? GDIT’s Summer Internship Program is designed with you in mind Our internship provides you the opportunity to be a part of a collaborative team that is helping to solve our clients’ most challenging matters. Throughout GDIT’s 10-week Summer Internship Program, you will have the opportunity to do the following: Work side-by-side with GDIT professionals delivering work for clients. Collaborate with a team of peers to research and propose solutions to a current business challenge. Participate in a mentoring circle led by an early career champion. Interact with GDIT leaders. How You’ll Make this Internship Opportunity Your Own This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer. As part of the GSS Team the Data Scientist’s expertise is needed to support a sophisticated enterprise environment. The Data Scientist is an active participant in SAFe and Scrum development teams and meetings. SPECIFIC DUTIES AND RESPONSIBILITIES: Identify data sources and automate collection processes Perform preprocessing of structured and unstructured data Analyze large, complex data sets to identify trends and patterns Build predictive models and machine learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to address Key Intelligence Questions Collaborate with engineering and product development teams WHAT YOU’LL NEED TO SUCCEED: Required Skills: technical discipline, or the equivalent combination of education, technical training, or work/military experience Experience in a Linux environment Direct experience and demonstrated proficiency with Python programming to build containerized microservices that use message queues such as activemq or rabbitmq. Experienced in ML Model performance testing and hyperparameter tuning (Tensorboard, wandb, mlflow) Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch. Experience with workload managers (SLURM, Argo Workflow, Airflow) Strong problem solving and troubleshooting skills Strong communication and interpersonal skills Must possess excellent time management skills and the drive to work unsupervised Eligibility to obtain TS/SCI clearance and a CI poly The Must-Haves Currently enrolled in an associate’s, bachelor’s or master’s degree program in computer science, IT, engineering, or other STEM field from a United States-based college or university. Basic understanding of Microsoft Office products (e.g., Word, PowerPoint, SharePoint, Excel, and Teams) What You’ll Need to Deliver Your Best Every Day Problem solving and interest in big data. Interest in data transformation, model selection, cross-validation, and deployment Interest or experience with big data platform tools Knowledge of statistical techniques Knowledge of Python or other programming languages Experience working in a collaborative team environment. Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology. Ability to effectively articulate technical challenges and solutions GDIT interns are paid and full-time (40 hours/week) for 10 consecutive weeks. Applicants should have a minimum of one semester remaining in their studies after their internship concludes. Take the first step and apply today Note: We receive a high volume of applications and review them on a rolling basis. We encourage you to apply as soon as possible. Our goal is to follow up with you within two weeks of your application.

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