This is a fully remote position, open to applicants in Virginia.

📋 Description

• Collaborate with internal stakeholders to develop data products and workflows that enhance essential operations.

• Transition and upgrade clients' workloads from outdated systems to cloud environments to achieve measurable improvements.

• Lead the adoption of AI technologies among clients to enhance business outcomes.

• Develop reference use cases along with accompanying tutorials, reference code, and training materials to promote the adoption of cloud tools for tangible business results.

• Conduct office hours to enhance clients' skill sets.

• Create, train, and implement machine learning solutions to address intricate business challenges.

⛳️ Requirements

• A Bachelor’s degree in Engineering, Computer Science, Systems, Business, or a relevant scientific/technical field.

• Over 12 years of professional experience.

• Expertise in Python and advanced SQL for data analysis purposes.

• At least 2 years of experience working with leading cloud platforms such as Databricks, Azure, AWS, and GCP.

• Familiarity with the full data science workflow, from dataset identification to production, along with related tools including NumPy, SciPy, and MLflow.

• Strong understanding of conventional machine learning toolboxes.

• Practical knowledge of large language models (LLMs) and agentic AI workflows.

• Bonus: More than 5 years of experience as a data scientist delivering multiple operational products.

• Bonus: At least 2 years of experience in creating visualized insights, dashboards, and reports that meet operational requirements.

• Bonus: Previous experience with R, Stata, or SAS.

• Bonus: Experience in converting R, Stata, or SAS codebases to Python.

• Bonus: Prior experience in deploying products utilizing LLMs or AI agents.