Why Choose Royce Geo

We're not your typical government contracting company, nor do we want to be. At Royce Geo, we live for building durable and long-lasting relationships with our clients, providing exceptional service with a CAN'T QUIT / WON'T QUIT attitude. We are creating a culture of winning, optimism, FUN, and caring for the person next to you. If you want to work in a real team environment and share the wealth and satisfaction of providing real value to your customer, then this company may be just for you.

Royce Geo prides ourselves in our values-first approach. Our values of Accountability, Attitude, Communication, Innovation, and Leadership are integrated into how we approach problems, guide our interactions with others, and create the framework for our culture.

We recognize and reward our team members that champion these attributes.

We offer a competitive benefit package that is designed to attract and retain exceptional talent. We take care of our team members from multiple facets including health, financial, and well-being programs:

• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events

Position Summary:

As a Data Scientist, you’ll will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. In this role, you will:

• 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

Required Qualifications:

• 
  Requires an active TS/SCI Clearance and eligibility to obtain a CI Poly
• 2 years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analysts and a 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
• Role will be a hybrid remote role with up to the 3 days a week on a government site.
• 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)

Desired skills and abilities:

• 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

EEO Statement

Royce Geo. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email recruiting@roycegeo.com with requested details. A member of the HR team will respond to your request within 2 business days.

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.