Senior Data Science Analyst

Harver

Senior Data Science Analyst demonstrating business value of talent assessment solutions to Fortune 500 clients. Executing predictive validity studies and outcome analyses to prove ROI for major enterprise clients.

Posted 7/2/2026full-timeAtlanta • Illinois, New Jersey • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PandasPythonSQLTableau

About the role

Key responsibilities & impact

Client Data Management
Intake and validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics)
Clean and standardize diverse data formats from enterprise HRIS and ATS systems
Match client candidate records with Harver assessment data with high accuracy
Troubleshoot data quality issues and communicate data requirements to clients
Document data specifications and maintain data integrity throughout analysis lifecycle
Predictive Validity & Outcome Analysis
Execute concurrent & predictive validity studies using established statistical frameworks
Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data
Conduct ROI analyses demonstrating business impact (cost savings, quality of hire improvements)
Perform disparate impact analyses to ensure assessment fairness
Generate client-ready reports and visualizations communicating technical findings to business stakeholders
Technical & Collaboration
Query and analyze data using Looker and SQL from internal databases
Collaborate with Data Scientists on methodology refinement and framework improvements
Support Client Success teams with technical questions and ad-hoc analyses
Maintain analysis documentation and contribute to team knowledge base
Present findings to internal stakeholders and client-facing teams
Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions
Identify custom solutions based on client escalations and build into repeatable process for similar issues in the future

Requirements

What you’ll need

5+ years of experience in data analysis, preferably in HR tech, people analytics, or consulting
Strong proficiency in data cleaning, transformation, and quality assurance with complicated real-world datasets
Solid statistical foundation (regression, hypothesis testing, correlation analysis, model evaluation metrics)
Experience applying machine learning models as a user (model scoring, interpretation, validation)
Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries)
SQL proficiency for data extraction and transformation
Experience utilizing version control tools like GitHub or Bitbucket to manage collaborative repositories (e.g., Python, R, SQL), ensuring a transparent, peer-reviewed, and audit-ready data environment.
Strong communication skills—ability to explain technical concepts to non-technical audiences
Excellent attention to detail and commitment to data accuracy
Self-directed work style with ability to manage multiple client projects simultaneously
Preferred Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating onboarding and understanding assessment validation principles)
Familiarity with psychometric concepts (validity, reliability) and experience evaluating adverse impact
Experience in HR analytics or workforce analytics
Experience with BI tools (Looker, Tableau, Power BI, or similar)
Background working with enterprise clients or in client-facing analytical roles
Knowledge of EEOC guidelines and employment law considerations in assessment validation

Benefits

Comp & perks

Work with Fortune 500 clients on high-impact talent decisions
Collaborate with a senior team of data scientists and engineers
Contribute to cutting-edge work in AI-driven talent assessment
Opportunity to grow into more strategic or technical roles

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data CleaningStatistical AnalysisMachine LearningPredictive ValidityData VisualizationRegression AnalysisHypothesis TestingCorrelation AnalysisData Quality AssuranceAdverse Impact Analysis

Soft Skills

Strong Communication SkillsAttention to DetailSelf-Directed Work StyleProject Management