Data Scientist

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$144K-$187K From the posting source

401(k) match

Not verified

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

48% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

Hires in: DC From the posting source

About this role

Data Scientist District of Columbia, District of Columbia Summary As a Data Scientist with the US Office of Personnel Management, Healthcare and Insurance, you will develop and apply statistical models, machine learning methods, risk indicators, anomaly detection, automation, and visual analytics to support oversight, program integrity, fraud/risk detection, and data-driven decisions for federal benefits programs. Duties Develops statistical, machine learning, and artificial intelligence models to identify trends, anomalies, risks, and relationships in structured and unstructured data. Applies predictive modeling, classification, regression, clustering, anomaly detection, simulation, optimization, and other quantitative methods. Analyzes program, financial, claims, enrollment, healthcare, insurance, benefits, and operational data to support oversight and program integrity. Develops risk indicators, analytical controls, and data-driven methods to detect improper payments, fraud, waste, abuse, and operational vulnerabilities. Builds automated scripts, reproducible workflows, analytical pipelines, dashboards, and recurring data science products. Uses tools such as Python, R, SAS, SQL, Tableau, Power BI, or similar platforms for data extraction, modeling, automation, visualization, and reporting. Communicates methods, assumptions, limitations, findings, risks, and recommendations to program, compliance, legal, investigative, technical, and leadership stakeholders. Requirements Must be a U.S. Citizen or National Males born after 12-31-59 must be registered for Selective Service Suitable for Federal employment, determined by a background investigation May be required to successfully complete a probationary period Candidates will not be hired based on their race, sex, color, religion, or national origin Complete the initial online assessment and USAHire Assessment, if required You will be required to report to an OPM assigned office. This

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