Data Scientist
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Job Description
Data Scientist developing analytical solutions for fraud detection at Actionable Outcomes. Collaborating with stakeholders and domain experts in a remote environment to provide actionable insights.
Responsibilities:
- Apply statistical analysis, data mining, and machine learning techniques to address operational needs
- Develop, validate, and deploy predictive, descriptive, and diagnostic models in support of program objectives
- Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and risk indicators
- Collaborate with data engineering teams to define data requirements, feature engineering approaches, and analytic pipelines
- Ensure analytical methods and outputs are explainable, reproducible, and auditable
- Develop and document model assumptions, methodologies, limitations, and performance metrics
- Support use cases such as forecasting, risk scoring, anomaly detection, classification, and segmentation
- Create visualizations, dashboards, and analytical summaries to communicate findings to stakeholders
- Support validation, testing, and continuous monitoring of models to ensure ongoing performance and compliance
- Produce high-quality documentation, technical memos, and briefings in accordance with federal standards
- Participate in Agile/Hybrid delivery processes, including sprint planning, reviews, and status reporting
Requirements:
- Must be a US citizen, No sponsorship available
- 5+ years’ experience
- Strong proficiency in Python or R and SQL
- Experience applying statistical methods and machine learning techniques (e.g., regression, classification, clustering, time series)
- Experience working with large, complex, or structured datasets
- Ability to clearly communicate analytical findings to non-technical stakeholders
- Ability to work independently and collaboratively in a remote environment
- Familiarity with working in regulated or compliance-driven environments
- Experience with data visualization and BI tools (e.g., Power BI, Tableau)
- Experience supporting use cases such as fraud detection, risk analysis, program integrity, performance measurement, or policy analysis
- Understanding of data governance, privacy, and responsible AI concepts
- Certifications (a plus): cloud analytics certifications, data science certifications, or related credentials.
Benefits:
- Paid time off – 11 holidays plus vacation and sick time.
- Health & Dental Insurance, voluntary employee-paid Vision Insurance.
- 401k – Our 401k plan matches up to 3.5% of your income (SIMPLE IRA capped at 3%).
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