Senior Associate, Data Scientist

BNY Mellon; Pittsburgh (Allegheny County); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Generous paid leaves

Paid volunteer time

Health and wellness programs

Job summary

BNY Mellon is looking for a Senior Associate, Data Scientist based in Lake Mary, FL with a hybrid work arrangement. The role involves assembling complex data sets and building infrastructure for data processing with tools like AWS, SQL, and Snowflake.

The ideal candidate will have a Bachelor’s degree and relevant experience in cloud-based solutions, Python, and data analysis. Join a company that offers competitive compensation and excellent benefits to support your career and personal well-being.

Qualifications

• 2-3 years of relevant experience required.
• Experience designing and building cloud-based data solutions.
• Proficient in Apache and Python.

Responsibilities

• Assemble large sets of data meeting business requirements.
• Identify and implement internal process improvements.
• Build infrastructure for data extraction and loading.

Skills

Data Analysis

Cloud Technologies

Python

SQL

Apache Kafka

Airflow

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

AWS

Job description

We’re seeking a future team member for the role of Senior Associate, Data Scientist to join our team! This role is located in Lake Mary, FL via Hybrid work arrangement (thrice a week to the office).

In this role, you’ll make an impact in the following ways:

• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

To be successful in this role, we’re seeking the following:

• Bachelor's degree in Computer Science Engineering or a related discipline, or equivalent combination of education and work experience required
• 2-3 years relevant experience
• Design & build cloud-based data lake and warehousing solution in Snowflake to enable storage and processing of data at scale
• Experience in Apache and Python
• Design & develop real-time/near real-time event-driven ingestion patterns using Kafka, Airflow & dBT
• Responsible for technical design, development and documentation of solution.

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.