Data Scientist

Key Skills

Aartificial intelligence, Amazon Simple Storage Service (S3), Apache Airflow, Apache Kafka, Argo, AWS, C++, Data science techniques, Google Cloud Platform (GCP), GPUs, Julia, Machine learning techniques, Python Programming, R Programming, Scrum Agile Methodology, SPARK Programming

Job Description

Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients' big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.

At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is smarter. Our work depends on TS/SCI cleared Data Scientist joining our team to support our intelligence customer in St. Louis, MO.

HOW A DATA SCIENTIST WILL MAKE AN IMPACT

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 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:

• 2+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analysts and Bachelor's Degree in Computer Programming, Science, Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
• 3+ years of 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
• Active TS/SCI clearance required and eligibility to obtain a CI poly

Desired Skills:

• Prior experience working with or within the Intelligence Community or a military intelligence unit
• Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH, VPN, etc.)
• computer vision related experience with torchvision or tensorflow object detection APIs.
• Additional languages on top of Python preferred (C++, Julia, Go, R)
• Familiarity with Cloud Platform AI-ML toolsets (e.g. AWS Sagemaker, GCP Vertex)
• Experience building data pipelines with spark, kafka, or nifi