Lead ML Scientist, Decision Sciences IQ Team

Publicis Groupe; Boston (MA); On-site; USD 93,500 - 173,700; Full time

Benefits offered by this job

Flexible time off

Comprehensive health coverage

401(k) plan

Tuition assistance

Childcare assistance

Job summary

Publicis Groupe is seeking a Lead Research Scientist to join the Epsilon’s Decision Sciences IQ team in Boston. The role focuses on integrating machine learning into marketing solutions within the PeopleCloud suite, improving client performance through innovative data solutions.

The ideal candidate will have a Ph.D. and strong programming skills, particularly in Python and other data science tools. The position offers a collaborative work environment and comprehensive benefits.

Qualifications

• Ph.D. in related scientific discipline.
• Research experience in Machine Learning.
• 1+ years managing research projects.
• 2+ years programming experience.
• Strong programming in Python.
• Experience with large data sets.
• Strong understanding of statistical techniques.
• Desire to work collaboratively.
• Strong communication skills.

Responsibilities

• Manage projects from research to development.
• Understand DSIQ’s modeling platform.
• Use data science expertise for technology solutions.
• Design and validate analytic pipelines at scale.
• Integrate solutions into PeopleCloud SaaS.
• Participate in knowledge sharing and team advancement.

Skills

Machine Learning

Python

Spark MLLib

Tensorflow

Keras

Big Data

Cloud Computing

Education

Ph.D. in Computer Science or related field

Tools

Databricks

Git

Jira

Confluence

Job description

Publicis Groupe is seeking a Lead Research Scientist to join the Epsilon’s Decision Sciences IQ team in Boston. The role focuses on integrating machine learning into marketing solutions within the PeopleCloud suite, improving client performance through innovative data solutions.

The ideal candidate will have a Ph.D. and strong programming skills, particularly in Python and other data science tools. The position offers a collaborative work environment and comprehensive benefits.