Data Scientist

Overview:

Abile Group has an exciting and challenging opportunity for a Data Scientist on a 10 year contract providing User Facing and Data Center Services supporting an Intelligence Community customer. All the personnel on the team will work together to support innovative design, engineering, procurement, implementation, operations, sustainment and disposal of user facing and data center information technology (IT) services on multiple networks and security domains, at multiple locations worldwide, to support the IC mission.

The right candidate will possess the below skills and qualifications and be ready to handle all responsibilities independently and professionally.

Responsibilities:

Identifies data sources and automate collection processes

Performs preprocessing of structured and unstructured data

Analyzes large, complex data sets to identify trends and patterns

Builds predictive models and machine learning algorithms

Combines models through ensemble modeling

Presents information using data visualization techniques

Proposes solutions and strategies to address Key Intelligence Questions

Collaborates with engineering and product development teams

Qualifications:

Clearance Required: TS/SCI with eligibility to obtain CI poly

Degree and Years of Experience: 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

5+ 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

5+ years of experience in a Linux environment

Required Skills:

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

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

About Abile Group, Inc.:

Abile Group, Inc. was formed in July 2004 to partner with the Intelligence Community and their Contractors in the areas of Enterprise Analytics & Performance Management, IT & Systems Engineering and Program & Project Management. We have significant experience with the Federal Government and are an EDWOSB dedicated to our employees and clients. We are looking for high performing employees who enjoy providing advice and guidance along with solutions development and implementation support, crafted by combining industry best practices with the clients’ subject matter experience and Abile’s breadth of expertise.

EEO Statement:

Abile Group, Inc. 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, or protected veteran status and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email (url removed) 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.

Permanent