Senior Data Scientist

Senior Data Scientist – Publicis Digital Experience

a division of Publicis Groupe, Publicis Digital Experience is a network of top-tier agencies designed to develop capabilities and solutions that enable growth and provide scaled access to the digital capabilities of Publicis Groupe. The portfolio endeavors to create value at the intersection of technology and experience to connect brands and people.

As a Machine Learning Engineer specializing in Databricks, you will design, develop, and deploy machine learning models  will collaborate with cross‑functional teams to transform data‑driven insights into actionable solutions, managing the end‑to‑end machine learning pipeline—data collection, feature engineering, model training, and deployment.

• Data Pipeline Development
  • Design and implement scalable data pipelines using Databricks to process large volumes of structured and unstructured data.
  • Collaborate with data engineers to ensure data quality, integrity, and availability.
• Model Development and Deployment
  • Develop machine learning models using PySpark, Tensor Flow, or Scikit‑learn.
  • Implement end‑to‑end machine learning workflows in Databricks, including data preparation, feature engineering, training, validation, and deployment.
  • Optimize models for performance and scalability in production environments.
• Continuous Improvement
  • Monitor models in production and iterate to improve performance and accuracy.
  • Utilize MLOps practices to automate deployment, monitoring, and management tasks.
• Collaboration and Communication
  • Work closely with data scientists, data engineers, and business stakeholders to understand requirements and deliver solutions.
  • Present findings and insights to technical and non‑technical audiences.
• Technical Leadership
  • Stay current with the latest advancements in machine learning and Databricks features.
  • Mentor junior engineers and promote knowledge sharing within the team.

• Education
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• Experience
  • 3+ years of experience in machine learning model development and deployment.
  • Proven experience with Databricks and its applications in ML solutions.
  • Experience with big data technologies such as PySpark.
• Skills
  • Proficiency in programming languages such as Python.
  • Strong understanding of machine learning algorithms and statistical methods.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with version control systems and Dev Ops tools.
  • Excellent problem‑solving skills and attention to detail.
• Soft Skills
  • Strong communication and presentation skills.
  • Ability to work independently as well as part of a team.
  • Strong organizational skills and the ability to manage multiple projects simultaneously.

• Opportunity to work with cutting‑edge technologies and innovative projects.
• Collaborative and inclusive work environment.
• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and career advancement.
• Paid Family Care for parents and caregivers for 12 weeks or more.
• Monetary assistance and support for adoption, surrogacy, and fertility.
• Monetary assistance and support for pet adoption.
• Employee Assistance Programs and Health/Wellness/Comfort reimbursements.
• Tuition Assistance.
• Paid time off including flexible time off, vacation, sick days, volunteer days, holiday and identity days.
• Matching Gifts programs.
• Flexible working arrangements.
• 'Work Your World' Program encouraging employees to work from anywhere for up to 6 weeks a year.
• Business Resource Groups supporting multiple affinities and alliances.

Publicis Digital Experience is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, pregnancy, childbirth, nationality, marital status, military service, disability, or any other characteristic protected by applicable federal, state, or local laws and ordinances. If you require accommodation or assistance with the application or onboarding process, please contact  All information will be kept confidential according to EEO guidelines.

Compensation Range: $87,210 – $119,300 annually.

Final date to receive applications: 01/29/2026.