Consulting Data Scientist 4

Oracle is seeking an experienced Consulting Data Scientist to join their team in a role that combines technical expertise with business impact. This position requires a seasoned professional with 8+ years of experience in data science and software engineering, who can design and implement sophisticated data solutions while providing technical leadership.

The role involves building and maintaining large-scale data pipelines that support statistical analyses and machine learning model deployment. You'll work at the intersection of data engineering and data science, creating comprehensive data strategies that enable advanced analytics and machine learning capabilities. This position requires expertise in modern data technologies including Apache Spark, Docker, and Kubernetes, along with strong programming skills in languages like Python, Java, or Scala.

As a Consulting Data Scientist 4, you'll collaborate with cross-functional teams to deliver high-impact solutions while maintaining high standards for data quality and security. You'll have the opportunity to mentor junior data scientists and shape the technical direction of data initiatives. The role offers competitive compensation ($97,500 - $199,500) and comprehensive benefits including medical insurance, 401(k) with company match, and flexible vacation.

This is an excellent opportunity for a senior data professional who wants to work on challenging problems at scale, using cutting-edge technologies while having significant impact on Oracle's data initiatives. The position requires a security clearance and offers the chance to work with a global leader in cloud solutions, contributing to projects that drive business transformation across industries.

The ideal candidate will combine technical excellence with strong communication skills, bringing both deep technical knowledge and business acumen to help solve complex challenges. You'll be part of Oracle's innovative culture, working with teams that are pushing the boundaries of what's possible with data and machine learning.