Principal Data Scientist Data Asset Evaluation & Strategic Partnership
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Job Location:
Any - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Department:
Analytics
Job Summary
We are looking for an experienced Principal Data Scientist to evaluate new data assets including M&A targets strategic partners and thirdparty data providers across the credit lifecycle. You will sit at the intersection of data science product strategy and corporate development rigorously assessing the predictive power stability scalability and regulatory viability of external datasets. Youll partner with Product Corporate Development Legal Risk and external counterparties. You will report to the VP of Analytics Product Build Innovation and Scores. This role is fully remote.
Youll have opportunity to:
- 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 lifecycleacquisition 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 postacquisition or postpartnership integration through guidance on feature pipelines monitoring strategies and performance tracking.
Qualifications :
- 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 scikitlearn 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 backtesting).
- Experience designing incremental value tests challenger analyses and controlled experiments.
- Summarize complex analytical outcomes into clear defensible business recommendations.
- Comfortable presenting in highvisibility 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.
Additional Information :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Machine Learning
- Python
- Data Science
- AI
- R
- Research Experience
- Sensors
- Drug Discovery
- Research & Development
- Natural Language Processing
- Data Analysis Skills
- Toxicology Experience
About Company
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, ... View more
