Senior Data Scientist / AI Machine Learning Research Engineer

Caci Inc
Denver, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 172K

Job location

Denver, United States of America

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Business Analytics Applications
Azure
Big Data
Computer Programming
Computer Engineering
Information Engineering
ETL
Data Warehousing
Linux
Statistical Hypothesis Testing
Information Theory
Python
Machine Learning
TensorFlow
Signal Processing
SQL Databases
Google Cloud Platform
Cloud Platform System
PyTorch
Spark
Containerization
Scikit Learn
Information Technology
Machine Learning Operations
Software Version Control
Data Pipelines

Requirements

  1. Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries.

  2. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing.

  3. Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment.

  4. Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).

  5. Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles.

Qualifications:

Required:

  • Master's degree in quantitative field with mathematical underpinnings and at least 5 years' experience.
  • Experience developing models,.
  • Strong background in machine learning, mathematics and statistics.
  • Comfortable using Linux operating systems and commonly used Linux utilities.
  • Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract
  • Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph

Desired:

  • Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics.
  • Experience applying machine learning to signal processing and/or other time-series data analysis applications.
  • Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests.
  • Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance.
  • Active Top Secret/SCI clearance preferred.

Benefits & conditions

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: $82,100-$172,400

About the company

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.

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