Corporate Finance – Data Science Product Associate
On-site · Newark, Delaware, United States
Job Summary
Corporate Finance – Data Science Product Associate drives analytics-driven features within Finance, Treasury, and CIO reporting; translates business needs into analytical requirements, designs dashboards, supports AI/ML model development and validation, and collaborates across product, data science, and engineering to streamline reporting and governance. Expect ownership of requirements, acceptance criteria, A/B tests, data validation, lineage, and documentation, with a focus on scalable insights delivery, executive storytelling, and cross-functional collaboration.
Required Qualifications
- Bachelor’s degree in a quantitative field (e.g., computer science, statistics)
- minimum of four years in product analytics, business analytics, or data science within a digital or product environment
- Proficiency in SQL and a data visualization tool; familiarity with cloud data platforms; hands-on experience with Amazon Web Services and Databricks
- Proficiency in Python or R for exploratory analysis and model evaluation; experience with time series analysis and modeling; training or fine‐tuning machine learning models
- Experience with experimentation (A/B testing), cohort analysis, KPIs, and measurement plans for model-powered features
- Ability to manage multiple workstreams under tight deadlines; strong analytical, problem-solving, and collaboration skills
- In-depth knowledge of ETL, data modeling, and reporting automation
- Strong storytelling skills to craft clear narratives from complex data for executive audiences
- Experience with Agile delivery methodologies and tools
- Exposure to machine learning productization, including model monitoring, drift detection, and feature performance measurement
- Knowledge of banking products from both technical and business perspectives
- Awareness of UI/UX principles; experience improving interaction by integrating user needs with technical functionality
- Experience with Jira and Confluence
- Familiarity with model risk governance and documentation standards
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.