Data Scientist - TS/SCI w/Poly

About the role

The Data Scientist will deploy, fine-tune, and monitor production machine learning models in a production environment. They will also provide support in data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.

Responsibilities

• Deploy, fine-tune, and monitor production machine learning models in a production environment.
• Optimize existing machine learning services to better utilize current GPU capabilities and assist with road mapping future GPU requirements.
• Deploy machine learning models against streaming data, designed to provide near-real time analytics to augment decision making.
• Improve data architecture decisions with data engineers to better stage data for continuous training models in production.
• Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.

Requirements

• Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD, Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing.
• Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions and/or improve processes.
• Demonstrated experience with relational databases (SQL, Oracle) and NoSQL databases (Elasticsearch, Neo4J, Redis).
• Demonstrated experience with GPU processing.
• Demonstrated experience applying machine learning methodologies to build high-quality prediction models.
• Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure.
• Familiar with database methodologies.
• Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck).
• Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano.
• Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process improvement and a proactive approach to problem solving.

Qualifications

• 10+ years of related data science/statistical experience and 2+ years of software engineering or data engineering experience.
• Bachelor’s or Technology degree in Engineering or a related specialized area/field, OR equivalent 4 additional years job-related experience.
• TS/SCI with Polygraph clearance.
• Excellent organizational, coordination, interpersonal and team building skills.

Skills

• Data Engineering
• Data Science
• Oracle
• Structured Query Language (SQL)

Benefits

• 401(k) with company match
• Comprehensive health and wellness packages
• Full flex work weeks
• Paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
• Short and long-term disability benefits
• Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
• Total Rewards package

Pay

The likely salary range for this position is $212,500 - $287,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Schedule

Scheduled Weekly Hours: 40

Location

At Customer Site – near Tyson Corner