Data Science Lead: AI Pipelines & Analytics

engineeringjobs.net, Inc.; Jacksonville (FL); On-site; USD 110,000 - 180,000; Full time

Benefits offered by this job

Health Care Coverage

On-Site Health and Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Job summary

engineeringjobs.net, Inc. seeks a senior data analytics lead to drive analysis of large, multi-source datasets and deliver scalable data solutions. You will build AI-enabled transformation pipelines, predictive models, and reporting to support Home Lending analytics.

You will partner with business and technology teams, mentor colleagues, and apply analytics expertise across initiatives. A bachelor's degree and 7+ years of experience are required.

Qualifications

• Bachelor's degree in a relevant field.
• At least seven years of experience in the offered role or related occupation.
• Three years of experience across production data pipelines, cloud & big-data platforms, databases, BI tools, data quality, Agile delivery, and project management.

Responsibilities

• Lead analysis of large, multi-source datasets and deliver scalable data solutions.
• Develop AI-enabled transformation pipelines, predictive modeling, and reporting.
• Coordinate with business and technology teams and mentor team members.
• Apply Home Lending analytics expertise across initiatives.

Skills

Python

SQL

PySpark

ETL Pipelines

AWS

Snowflake

Hadoop

Data Warehousing

Database Optimization

Tableau

Power BI

Data Quality Management

Generative AI

Natural Language Processing

Project Management

Agile Scrum

Education

Bachelor's degree

Tools

Tableau

Power BI

AWS

Hadoop

PySpark

Job description

engineeringjobs.net, Inc. seeks a senior data analytics lead to drive analysis of large, multi-source datasets and deliver scalable data solutions. You will build AI-enabled transformation pipelines, predictive models, and reporting to support Home Lending analytics.

You will partner with business and technology teams, mentor colleagues, and apply analytics expertise across initiatives. A bachelor's degree and 7+ years of experience are required.