Note: The job is a remote job and is open to candidates in USA. Striveworks is a company that helps organizations harness the power of artificial intelligence to solve real-world challenges. As a Senior Data Scientist, you will contribute to projects that leverage the company's proprietary AI operations platform and work collaboratively with a team to transform machine learning models into functional products.
Responsibilities
- Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
- Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
- Orchestrating and automating complex data and analytic pipelines
- Implementing AI-based software solutions for cloud and edge environments
- Conducting mission-critical field work and interfacing with customers and other stakeholders
Skills
- Bachelor's degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience
- Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
- Expertise in implementing and analyzing algorithms and data structures
- Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
- Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
- Active Secret (or above) US security clearance
- Due to the nature of this role, candidates must have US citizenship
- Graduate degree in computer science, machine learning, mathematics, or a related discipline
- Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
- Experience building AI agents and agentic workflows
- Experience implementing ETL pipelines, data pipelines, and/or workflow automation
- Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.)
- Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
- Experience leading a small team
- Experience delivering technology solutions in secure government environments
- Experience working with federal, state, and/or local government customers
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
Company Overview