Data Scientist

Empower

Data Scientist supporting Responsible AI evaluation and integration with AI Factory teams at Empower. Collaborating on AI applications' safety, transparency, and ethical considerations.

Posted 6/3/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

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

machine learningstatistical analysisexperimental designPythonmodel performance assessmentevaluation workflowsbenchmark datasetsevaluation scriptsmodel behavior analysissafety testing

Soft Skills

collaborationcommunication

Certifications & Qualifications

Bachelor’s degreeMaster’s degree

Industry Keywords

Responsible AIGenAILLM systemsmodel behavior riskstransparencyfairnessrobustnesscontextual groundingevaluation techniquesdata characteristics

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Support Empower’s Responsible AI (RAI) program by embedding directly with AI Factory teams
Ensure AI and GenAI applications are safe, measurable, transparent, and aligned with Empower’s Responsible AI principles
Serve as the Responsible AI data science partner for assigned AI CoreWorks Factory teams
Support integration of evaluation workflows, guardrails, and measurement practices
Execute evaluations related to hallucination, fairness, contextual grounding, transparency, robustness, and other model behavior risks
Develop benchmark datasets, evaluation scripts, and structured testing methods for consistent assessment across AI applications
Analyze model architectures, data characteristics, and inference workflows to inform evaluation design and interpretation of results
Apply machine learning, statistical, and experimental design techniques to assess model behavior and performance
Evaluate how training approaches, data sources, model configurations, and deployment patterns influence Responsible AI outcomes
Contribute to research, experimentation, and prototyping of emerging Responsible AI methods and evaluation techniques

Requirements

What you’ll need

Bachelor’s or Master’s degree in computer science, data science, statistics, or a related quantitative discipline, or equivalent experience
Experience developing, validating, or evaluating machine learning models in production or pre-production environments
Strong proficiency in Python and experience working with data for ML analysis, experimentation, and evaluation
Familiarity with experimental design, statistical analysis, and model performance assessment
Exposure to GenAI or LLM systems, including model behavior analysis, safety testing, or explainability techniques
Ability to collaborate effectively with engineering, QA, and product teams in a matrixed environment
Strong written and verbal communication skills.

Benefits

Comp & perks

flexible work environment
fluid career paths
celebrate internal mobility
importance of purpose, well-being, and work-life balance
welcoming and inclusive environment
thousands of hours to volunteering for causes that matter