Data Science Specialist
Galent · San Jose, CA
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About the role
Role: Data Science Lead (Fraud / Financial Services)
Location: San Jose / Bay Area (Onsite)
Role Overview:
We are looking for a hands-on Data Science Lead to drive end-to-end delivery of data science and data engineering projects within the financial services domain. The role involves leading a small team, partnering with stakeholders, and building scalable data/ML solutions on large transactional datasets.
Key Responsibilities:
- Lead delivery of data science & data engineering projects end-to-end
- Manage and mentor a team of data scientists/engineers
- Design scalable data pipelines and ML solutions
- Build and deploy models (fraud, risk, segmentation, forecasting)
- Write/review production-level Python and SQL
- Collaborate with stakeholders and translate business needs into solutions
- Ensure data governance, quality, and compliance
Key Requirements:
- Relevant years in Data Science (financial services/payments preferred)
- Strong Python & SQL (mandatory)
- Experience in ML modeling (predictive, risk, anomaly detection)
- Prior team leadership & client-facing experience
- Exposure to AWS and modern data engineering practices (preferred)
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf
Description sourced from the public LinkedIn listing — this role isn't indexed from the company's career page yet.
Skills
- Python
- SQL
- TensorFlow
- scikit-learn
- AWS
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