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Data Scientist - PayActiv
Data Scientist
Experienced Data Scientist to develop predictive models, analyze financial risk, and create data‑driven product insights using Python, SQL, and machine‑learning techniques in a fast‑moving FinTech environment.
About the role
Key Responsibilities
- Design, build, and deploy predictive and classification models to assess earned‑wage access risk and improve product offerings.
- Analyze large, multi‑source financial datasets to uncover trends, generate actionable insights, and support strategic decision‑making.
- Develop and maintain data pipelines and ETL processes using SQL and cloud services (AWS) to ensure reliable, scalable data access.
- Create clear visualizations and dashboards for stakeholders, translating complex analytical results into business‑friendly narratives.
- Collaborate cross‑functionally with product, engineering, and finance teams to integrate analytics into product features and operational workflows.
Requirements
- 5+ years of professional experience as a Data Scientist or similar role, preferably in FinTech or financial services.
- Strong proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL for data manipulation and model development.
- Hands‑on experience with statistical modeling, machine‑learning algorithms, and A/B testing methodologies.
- Demonstrated ability to build data pipelines and work with cloud platforms such as AWS (S3, Redshift, SageMaker).
- Excellent communication skills with a track record of presenting technical findings to non‑technical audiences.
Skills
pythonsqlmachine learningaws