Data Science Specialist

Galent; San Jose (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Galent in San Jose is seeking a Data Science Lead to oversee the delivery of data science and engineering projects in the financial services sector. The ideal candidate will lead a small team, design scalable data pipelines, and deploy machine learning models.

Strong skills in Python, SQL, and ML modeling are essential. Candidates should have prior team leadership experience and exposure to AWS. Join us to make a significant impact in the financial services industry.

Qualifications

• Years of experience in Data Science, preferably in financial services.
• Strong proficiency in Python and SQL.
• Experience in ML modeling for predictive analytics and anomaly detection.

Responsibilities

• Lead delivery of data science and engineering projects end-to-end.
• Manage and mentor a team of data scientists and engineers.
• Design scalable data pipelines and machine learning solutions.

Skills

Data Science

Python

SQL

ML Modeling

Team Leadership

AWS

Job description

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