17 часов назад
Senior Data Scientist (AI)
185 000 - 205 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Building and deploying data products, machine learning solutions, and cloud workflows for the Department of Veterans Affairs modernization initiative with an accent on Python, advanced SQL, cloud platforms, and end-to-end data science. Focus on migrating legacy workloads to the cloud, driving LLM and agentic AI adoption, and solving complex operational problems through production-ready machine learning products.
Location: Fully remote within the United States
Salary: $185,000–$205,000 annually
Company
delivers IT services and solutions that transform government operations and support public-sector agencies.
What you will do
- Consult with internal clients and build data products and workflows for critical operations.
- Migrate and modernize legacy workloads to cloud environments, including Databricks, Azure, AWS, and GCP.
- Develop, train, and deploy machine learning solutions for complex business problems.
- Drive client adoption of AI, large language models, agentic workflows, and cloud tooling.
- Create reference use cases, tutorials, reference code, and training materials.
- Host office hours and upskill clients on data science and cloud capabilities.
Requirements
- Bachelor’s degree in engineering, computer science, systems, business, or a related scientific or technical discipline, plus 15+ years of experience or equivalent experience.
- Proficiency in Python and advanced SQL for data analysis.
- At least 2 years of experience with leading cloud platforms such as Databricks, Azure, AWS, or GCP.
- Experience across the end-to-end data science workflow, including dataset identification, production deployment, and tools such as NumPy, SciPy, and MLflow.
- Strong understanding of traditional machine learning toolboxes and working knowledge of LLMs and agentic AI workflows.
- Ability to obtain and maintain a suitability/public trust clearance.
Nice to have
- 5+ years of data science experience shipping multiple products into operation.
- Experience building dashboards and reports for operational needs.
- Experience with R, Stata, or SAS, including refactoring these codebases to Python.
- Experience shipping products that leverage LLMs or AI agents.
Culture & Benefits
- Flexible remote work environment.
- Employee Assistance Program and corporate discounts.
- Learning and development platform with certification preparation content.
- Training, education, and certification assistance for full-time employees.
- Referral bonus, internal mobility program, and pet insurance.
Hiring process
- Virtual video interview with the hiring manager and/or team; the camera must be on and a valid photo ID must be presented.
- Enhanced biometric ID verification screening.
- Background check covering criminal history, education, and employment history verification.
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