Senior Data Scientist - TS/SCI Cleared AI/ML Lead

SLAS (Society for Laboratory Automation and Screening); Virginia (MN); Hybrid; USD 185,000 - 230,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

Voluntary life, long-term disability,

HSA and FSA plans

401(k) plan

Unlimited PTO

Paid parental leave

Job summary

Striveworks is seeking a Senior Data Scientist to join a cross-disciplinary team delivering trusted AI systems across real-world use cases. You will develop and validate machine learning models and custom analytic algorithms for image, video, text, and geospatial data, and implement AI-based solutions for cloud and edge environments.

You will work with data scientists, machine learning engineers, software engineers, and DevOps to ensure robust, production-ready models, underpinned by a strong

Qualifications

• BS in computer science, ML, mathematics or related field with 6+ years of experience
• Proficiency in ML and data science for image/video data
• Proficiency in data structures and algorithms
• Proficiency in Python; TensorFlow, PyTorch, scikit-learn familiarity
• Experience in anomaly detection for AI systems, data, workflows
• Exposure to SDLC and DevOps tools (Git, Agile)
• Active TS/SCI clearance and US citizenship; eligible for polygraph

Responsibilities

• Develop and validate ML models and analytic algorithms across image, video, text, geospatial, time-series, and structured data
• Implement AI-based software solutions for cloud and edge environments
• Collaborate with data scientists, ML engineers, software engineers and DevOps
• Contribute to project direction and product outcomes

Skills

Python expert

ML/DL modeling

TensorFlow

PyTorch

scikit-learn

Image/Video data

Anomaly detection

Git

CI/CD

Security clearance

Cloud (AWS/Azure)

SDLC & DevOps

Communication

US citizenship

TS/SCI clearance

Education

BS in CS/ML/Math

Advanced degree (MS/PhD)

Tools

Docker

Kubernetes

Git

CI/CD

Job description

Striveworks is seeking a Senior Data Scientist to join a cross-disciplinary team delivering trusted AI systems across real-world use cases. You will develop and validate machine learning models and custom analytic algorithms for image, video, text, and geospatial data, and implement AI-based solutions for cloud and edge environments.

You will work with data scientists, machine learning engineers, software engineers, and DevOps to ensure robust, production-ready models, underpinned by a strong