Data Scientist (Active Secret Clearance) at Striveworks in Austin, Texas, United States

Job description

• “In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks
• The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it.
• Striveworks was built to solve that problem.

Responsibilities

• Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab.
• As a Data Scientist, you will be a core contributor to the projects, products, and direction of the company. Working as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers, you’ll develop and validate machine learning models and custom analytic algorithms applied to image, video, text, geospatial, time series, structured, and other data. You will design AI-based solutions, based on both agentic and traditional approaches, for cloud and edge environments. You will sense what customers need, identify evolving demands, and translate that feedback into actionable input for our product teams. The work extends to the field, with mission-critical deployments and direct customer contact.

Requirements

• A BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience
• Proficiency in machine learning and data science, with demonstrated application to image data, video data, or agentic systems
• Proficiency in implementing and analyzing data structures and algorithms
• Excellence in Python and knowledge of TensorFlow, PyTorch, and/or scikit-learn
• Exposure to software development life cycle and tools
• Active Secret (or above) US security clearance and US citizenship
• An advanced degree in computer science, machine learning, mathematics, or a related discipline
• Experience deploying machine learning and data science solutions to production environments
• Exposure to DevOps and to cloud infrastructure
• Experience processing a variety of unstructured data types (e.g., image/video, text, telemetry, graphs, or other)
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing software in a systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)

Skills

Required

• Machine learning
• Data science
• Data structures and algorithms
• Python
• TensorFlow
• PyTorch
• scikit-learn

Preferred

• DevOps
• Cloud infrastructure

Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans
• 401(k) plan
• Unlimited PTO
• Paid parental leave
• The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.