Data Scientist I
Core
Partners with analysts to define business problems, extract insights from large structured/unstructured data, and develop predictive modeling and machine learning solutions for banking risk management.
Role type
Data Scientist I
Builds
Scalable, efficient, automated analytical solutions and models for banking LOBs
Domain
Banking / Financial Services / Risk Management
Deliverable
production ML models | dashboards & analysis
Required skills
Python, PySpark, SQL, AWS (Glue, S3, Lambda), Redshift, Git, Unix Shell Scripting, ETL tools (Data Stage, Informatica), Airflow, Control-M
Preferred skills
Domain knowledge of banking processes and risk management, Cloud architecture design
Technologies
Quicksight, Matplotlib, Seaborn, iPython, BMC Control-M, Apache AirFlow, AWS, Redshift, PySpark
Responsibilities
Integrate and extract relevant information from large amounts of data; Conduct advanced analytics leveraging predictive modeling, machine learning, and simulation; Develop algorithms and supporting code; Translate complex analytical concepts to non-technical employees
Seniority
Individual Contributor, 1-4 years experience
