Senior Data Scientist, HHS

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

📋 Description

• Organize, synthesize, and analyze data to support government stakeholders and product teams in making informed decisions.

• Create repeatable data quality assessments, validate schemas, and standardize metadata across HHS’s data and AI inventories.

• Assess, classify, and document risks associated with enterprise AI use cases in line with federal and agency governance standards.

• Clean, integrate, and analyze intricate data from various sources to identify trends, gaps, and patterns.

• Utilize machine learning and natural language processing to automate data tagging, classification, and metadata enrichment.

• Prepare reporting datasets and convert findings into clear dashboards and recommendations for both technical and executive audiences.

• Select suitable tools, including simple analyses, automations, or models, favoring open-source solutions.

• Collaborate with product managers, designers, engineers, and other specialists as part of a cross-functional team.

• Support HHS OCDO priorities, which include data governance, statutory reporting, executive communications, and analytical requirements.

• Contribute to the HHS Data Inventory, AI Use-Case Inventory, modernization of the data catalog, Division data calls, and public inventories.

• Rapidly prototype and share preliminary, imperfect work amidst evolving priorities.

⛳️ Requirements

• Experience with AI systems, modern AI tools, and enterprise AI model workflows.

• Knowledge of metadata standards, data profiling, and schema validation.

• Ability to strategically approach data to identify relevant questions, communicate ideas, uncover opportunities, and guide decisions.

• Strong proficiency in Python and SQL, with practical experience in cleaning, validating, and preprocessing data from various sources.

• Capability to analyze datasets using suitable analytical methods and to design, prototype, and construct credible, effective, and accessible statistical models.

• Commitment to maintaining privacy and security while conducting data analysis.

• Proficient in articulating data, models, and findings to technical, non-technical, and executive audiences.

• Competence in using appropriate visualization tools to emphasize actionable insights, trends, and recommendations derived from data.

• Advocate for leading practices in data science within your team and across the organization.

• Experience collaborating on cross-functional teams (product, design, engineering, operations) in iterative delivery processes.

• A mindset and work ethic that align with our core values.

• All work must be performed within the U.S., excluding U.S. territories.

• Must have legal authorization to work in the U.S. now and in the future without sponsorship.

• Must obtain and maintain a Public Trust clearance.

• Must successfully pass a company background check.

• Some positions may be on federal contracts that necessitate a degree or additional years of experience as a substitute.

🏝️ Benefits

• Medical insurance, dental insurance, and vision insurance.

• Short-term and long-term disability insurance.

• Life and AD&D insurance.

• Dependent care FSA, healthcare FSA, and health savings account.

• Dollar-for-dollar 401(k) match up to 10% of your salary with no vesting period.

• Flexible paid-time-off policy (generally around 25 days per year), plus 11 paid federal holidays.

• Up to 12 weeks of paid time off for all eligible new parents through birth, adoption, or foster care.

• Performance rewards, including annual salary increases, annual performance bonuses, spot bonuses, and stock options.

• Business development/sales bonuses.

• Referral bonuses.

• Annual $2000 allowance for professional development.

• Annual $750 allowance for technology-related purchases.

• Annual swag budget of $100 to showcase your Skylight pride with merchandise (hoodies, hats, and more).

• Flexible, remote-friendly work environment.

• A supportive environment that empowers you to leverage your strengths for the public good.