[Remote] Principal Data Scientist - Data Asset Evaluation & Strategic Partnership

Remote Full-time
Note:The job is a remote job and is open to candidates in USA. Experian is a global data and technology company, powering opportunities for people and businesses around the world. They are seeking an experienced Principal Data Scientist to evaluate new data assets and assess their predictive power, stability, scalability, and regulatory viability across the credit lifecycle. Responsibilities • Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud • Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability • Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data • Conduct benchmarking and champion/challenger analyses comparing external data assets with internal attributes, scores, and models • Engineer consumer, account, or business-level features from raw or event-level data, especially for early-stage data providers • Develop and test feature construction methods (recency, frequency, velocity, volatility, trend, and stability) to evaluate modeling potential • Assess data assets across the full credit lifecycle—acquisition, underwriting, account management, early warning, and loss mitigation • Translate analytical findings into investment theses, valuation inputs, and go/no-go recommendations for Product and Corporate Development • Evaluate regulatory and compliance considerations: explainability, permissible purpose, adverse action suitability, data provenance, and governance • Partner with Legal and Privacy teams to assess consent, permissible use, data rights, and regulatory risks • Build repeatable toolkits, scorecards, and dashboards to standardize how data assets are evaluated • Lead technical deep dives and data reviews with external data providers, fintechs, and potential acquisition targets • Present findings to senior partners through executive-ready materials that communicates risk, value, integration effort, and strategic fit • Support post‑acquisition or post‑partnership integration through guidance on feature pipelines, monitoring strategies, and performance tracking Skills • 5+ years of experience in data science, credit risk analytics, or advanced analytics within financial services, FinTech, or data-driven platforms • Hands-on experience transforming raw transactional, event-level, or unstructured data into model-ready features • Proficiency in Python (Pandas, NumPy, SciPy, scikit‑learn, SQLAlchemy) for feature engineering, validation, and analysis • Advanced SQL experience with large, multi-source datasets • Experience with credit risk metrics and model evaluation (AUC, KS, lift, PSI, stability, and back‑testing) • Experience designing incremental value tests, challenger analyses, and controlled experiments • Summarize complex analytical outcomes into clear, defensible business recommendations • Comfortable presenting in high‑visibility, decision-oriented environments • Experience collaborating across Product, Risk, Legal, Compliance, and Strategy teams • Experience supporting M&A due diligence, data acquisitions, or strategic partnership evaluations • Familiarity with fair lending expectations, model explainability, and regulatory compliance for new data usage • Experience evaluating early-stage fintechs or data-as-a-service providers with developing data products • Exposure to ML models used for underwriting, fraud, or early-warning systems • Experience building standardized evaluation frameworks or internal analytics guides • Understanding of data commercialization and productization considerations Benefits • DEI • Work/life balance • Development • Authenticity • Collaboration • Wellness • Reward & recognition • Volunteering Company Overview • Experian is a data analytics and consumer credit reporting company.It was founded in 1980, and is headquartered in Dublin, Dublin, IRL, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • Experian has a track record of offering H1B sponsorships, with 8 in 2025, 18 in 2024, 9 in 2023, 16 in 2022, 19 in 2021, 23 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job
Apply Now

Similar Opportunities

Backend Engineer - Go - Postgres

Remote Full-time

Oracle Health / Cerner / ITWorks – Manager, Project Management & Portfolio Leade | Oracle | Remote (United States)

Remote Full-time

Commercial Portfolio Manager - To 140K - Houston, TX - Job 3671B - Full-time

Remote Full-time

Sr. Director, PMO (Remote)

Remote Full-time

PMO Analyst | 100% Remote - Need local candidates only | Contract

Remote Full-time

bolthires & Gumroad Marketing Specialist (Sales Growth)

Remote Full-time

Principal Engineer, Ads Measurement

Remote Full-time

Supplier Management Lead

Remote Full-time

FULL Stack Laravel Developer; Remote

Remote Full-time

[Hiring] Pharmacy Technician Representative @The bolthires Group

Remote Full-time

[Remote] IS Database Developer II

Remote Full-time

[Remote] Global Payroll Analyst * International Payroll Analyst * Global Payroll Specialist * International Payroll Specialist *

Remote Full-time

Experienced Customer Service Advocate II – Outbound Representative for Delivering Exceptional Member and Provider Experiences

Remote Full-time

Senior bolthires Director

Remote Full-time

Midway Logistics LLC – Customer Service Representative (Remote) – Los Angeles, CA

Remote Full-time

Experienced Remote Data Entry Associate – Entry-Level Opportunity for Career Growth and Development with arenaflex

Remote Full-time

Experienced Remote Data Entry Specialist – Entry-Level Work from Home Opportunity with arenaflex

Remote Full-time

Senior Software Engineer - Applied AI

Remote Full-time

[Remote] Account Coordinator

Remote Full-time

Experienced Staff Data Scientist – Digital Marketing Analytics and Omnichannel Strategy Development at arenaflex

Remote Full-time
← Back to Home