Data Scientist

Actionable Outcomes

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.

Posted 4/11/2026full-timeRemote • Florida • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $155,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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%).

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical analysisdata miningmachine learningpredictive modelingdescriptive modelingdiagnostic modelingexploratory data analysisfeature engineeringdata visualizationSQL

Soft Skills

communicationcollaborationindependenceanalytical thinkingdocumentation

Certifications

cloud analytics certificationsdata science certifications