Data Scientist - TS/SCI w/Poly

Description

Your work is getting trained models running in live systems, adjusting them and tracking how they behave.

This is a mission-driven role that centers on deploying models against real-time data as it is collected.

The pace is quick, the work keeps changing, and the goal is better processes. You need a working grasp of data science, modeling, mapping, testing, quality control and documentation.

The company is a global technology and professional services firm serving US government, defense and intelligence agencies. It has about 26,000 staff, works in 50+ countries, and offers AI, cloud, cyber and software development.

Responsibilities

• Take ownership of ML models already running in production for audio extraction, object recognition, NLP and other general classification tasks.
• Tune existing ML services to make better use of current GPU resources, and help plan future GPU needs.
• Put models to work on streaming data to deliver near-real-time analytics that support decisions.
• Work with data engineers on architecture choices so data is staged for continuous training of models in production.
• Handle ETL, data mapping, analytics, operations, database work and upkeep of data systems.

Requirements

• No certifications are required.
• Hands-on skill in data engineering, data science, Oracle Database and SQL.
• 10+ years of related data science or statistical experience.
• 2+ years of software engineering or data engineering experience.
• A bachelor's or technology degree in engineering or a closely related specialized field, or 4 additional years of job-related experience in its place.
• Proven use of Python, CUDA, Kubernetes, CI/CD, Apache Kafka, REST architecture, OpenAI, LLMs, NLP, YOLO or other object recognition, and Whisper or other audio processing.
• You have turned data findings into tools or analytics that guide operational decisions or improve processes.
• Hands-on work with relational databases (SQL, Oracle) and NoSQL databases (Elasticsearch, Neo4J, Redis).
• Proven GPU processing work.
• You have applied machine learning methods to build accurate prediction models.
• Familiarity with Windows and Linux servers, distributed computing, blade centers and cloud infrastructure.
• Familiarity with database methodologies.
• Familiarity with source code management and integration tools such as GitHub, GitLab, Jenkins and RunDeck.
• Familiarity with data science frameworks such as Keras, TensorFlow or Theano.
• Able to work well when conditions change often, with a steady focus on improving processes and solving problems proactively.
• Strong organizational, coordination, interpersonal and team-building skills.

Conditions

Full-time, 40 hours per week, on site in McLean, Virginia. No travel is required.

US citizenship is required.

An active TS/SCI clearance with polygraph is required.

Identity verification uses biometrics and AI to confirm authenticity and prevent fraud. You must be on camera for virtual interviews, your photo may be taken, and by going ahead you agree to biometric data collection for verification and security.

The likely salary range is $212,500 to $287,500. This is not a guarantee. Pay depends on experience, geographic location and possibly contract terms, and may fall outside that range.

We are an equal opportunity employer and welcome applicants with disabilities and protected veterans.

Benefits

• Medical plan options, some with Health Savings Accounts, plus dental and vision plans.
• 401(k) with pre-tax and post-tax contributions up to IRS annual limits, and a company match.
• Full flex work weeks where possible.
• Paid vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
• Short- and long-term disability, life insurance, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance, provided or available.
• An internal mobility team to help you manage your career.
• Paid education and certifications for professional growth.
• Access to current technology to learn from.
• Total rewards are reviewed regularly to keep them competitive.