Data Scientist [Multiple Positions Available]

DESCRIPTION:

Duties: Prepare reports on product metrics to drive data product adoption.

Define technical requirements for data product supportability.

Create a strategic vision for data products and design product solutions and enhancements.

Assess data products against requirements and articulate analysis to a business audience.

Identify and rectify defects.

Advocate best practices for customers and internal teams during product design, development, beta testing, and implementation.

Deliver documentation, polices, and processes for project launch to data analysts.

Provide customer support, including escalation and ticket case management.

Create communications, presentations, and documentation to support data products.

Support the transition of data resources from on-premises to the cloud, including user onboarding to cloud-based data platforms.

Assist users with data validation, facilitate data migration, and resolve product performance issues.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Information Technology and Analytics, Data Science, Statistics, Economics or in a related field of study plus 1 year of experience in the job offered or as Data Scientist, Data Analyst, Business Analyst, or in a related occupation.

The employer will alternatively accept a Bachelor's Degree in Information Technology and Analytics, Data Science, Statistics, Economics or in a related field of study plus 3 years of experience in the job offered or as Data Scientist, Data Analyst, Business Analyst, or in a related occupation.

Skills Required: This position requires one (1) year of experience with the following: Working with Big Data Analytics to assist users in troubleshooting issues, including user challenges on accessing data from various data warehouse such as Snowflake, Datalake, Teradata through integration in data validation, product performance, user onboarding, and providing guidance regarding Protection Group (PG classification) roles to access the data, query optimization feature training to users; Documenting best practices for PySpark usage and data workflows; Fine- tuning PySpark scripts for performance; Managing EMR clusters for scalable data processing; Performing real-time data monitoring and analysis leveraging Splunk.

This position requires any amount of experience with the following: Maintaining data integrity and security during data migration, integration, and transformation to the cloud; Devising and implementing cloud-based solutions to enhance data accessibility and performance; Developing and integrating Python-based solutions to enhance product functionality; Writing ETL scripts and functions with libraries including Pandas and Boto3; Providing helper code to streamline data handling; Validating SQL-driven analyses to comply with banking regulations and data privacy standards; Monitoring data governance and compliance, violations and usage metrics of the product to stakeholders; Extracting and analyzi...