Data Scientist – SQL

Business group: Small Business & Channel Analytics – team works in customer onboarding, using proprietary technology building to assess necessary stages that customers are onboarded safely and securely. A lot of work is focused on channel expansion, data, and analytics to see how that funnel is behaving.

Project: Initiative working with an external vendor (fraud and know your customer technology) – ensuring data is properly ingested and structured, work in coordinating with fraud and digital teams.

Details:

1. Efficiently handle large volumes of structured and unstructured data through ingestion, modeling, transformation, and storage across diverse data stores. Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling.
2. Collaborate with operation and other analytics teams to deploy models and algorithms in production across different channels and platforms.
3. Work with the team to design the project architecture and road map.
4. Prepare detailed documentation to outline data sources, models, and algorithms used and developed.
5. Present results to business line stakeholders and help implement real world data-driven changes.

Candidate Requirements/Must Have Skills:

1. 10+ years of combined working experience with SQL, Spark and relational databases technologies/concepts for both (please list which).
2. 10+ years of production experience with statistical analysis, machine learning and digital analytics (e.g., hypothesis driven analysis, acquisition, and fraud/anomaly detection).
3. 3-5+ years’ experience with Power BI and/or Tableau (Power BI preferable).

Nice-To-Have Skills:

1. Domain knowledge/experience with on digital authentication and digital fraud analytics. Hands-on experience with Big Data/Cloud ecosystem (GCP).
2. Experience with existing Know-Your-Customer (KYC) practices across financial institutions and the supporting technologies.

Soft Skills Required:

1. Excellent written, verbal, and interpersonal skills for executive level communication and collaboration.
2. Able to work in a fast-paced, constantly evolving environment and manage multiple priorities.
3. Pragmatic and capable of solving complex issues.
4. Strong experience working with a variety of cross-functional teams.

Education:

Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field.