Director of Data Science

Role Description

We are seeking a highly skilled and technically proficient Director of Data Science to lead and scale our data science team. This individual will be responsible for driving complex modeling efforts, designing robust data pipelines, and delivering high-impact analytical solutions that influence business strategy. This role is ideal for a hands-on leader with deep expertise in machine learning, statistics, and data infrastructure.

Responsibilities

• Team Leadership & Strategy
  • Lead and mentor a multidisciplinary team of data scientists and ML engineers.
  • Partner cross-functionally with engineering, product, analytics, and business stakeholders to identify opportunities for data-driven innovation within an agile environment.
  • Uncover deep insights from data and effectively connect them to user behaviors through compelling storytelling.
• Technical Execution
  • Architect, deploy, and validate advanced machine learning models and algorithms for prediction, optimization, segmentation, and recommendation.
  • Review and guide experimentation, statistical modeling, and A/B testing across products and initiatives.
  • Ensure scalable deployment of ML solutions into production in collaboration with engineering teams.
• Operational Excellence
  • Define and uphold best practices in model development, versioning, monitoring, and reproducibility.
  • Implement frameworks for model governance and performance tracking.
  • Contribute to building a modern data science stack that supports experimentation, feature engineering, and model lifecycle management.
• Data Infrastructure & Collaboration
  • Guide the development of robust data pipelines, feature stores, and model-serving architectures.
  • Advocate for sound data management and partner with data engineering on upstream data quality and infrastructure needs.
• Thought Leadership
  • Stay abreast of emerging techniques in AI/ML and evaluate applicability to our business challenges.
  • Cultivate a culture of curiosity, experimentation, and scientific rigor.

Qualifications

• 8+ years in data science or machine learning roles, with at least 3–5 years leading teams.
• Degree in Computer Science, Statistics, Mathematics, or a related technical field (MS/PhD preferred, or undergraduate degree with relevant work experience).
• Deep experience with Python, SQL, and modern ML libraries (e.g., scikit-learn, statsmodels, TensorFlow, PyTorch).
• Proven ability to scale ML solutions in production environments (e.g., via cloud platforms like AWS/GCP).
• Experience in digital product development, particularly with web or app platforms, demonstrating an ability to effectively contribute to the lifecycle of digital products.
• Strong understanding of experimental design, causal inference, and statistical testing.
• Exceptional communication skills with the ability to translate technical work into business impact.

Benefits

• 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 to help you invest in your future and work/life balance.
• Tuition Assistance.
• Paid time off that includes Flexible Time off, Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more.
• Matching Gifts programs.
• Flexible working arrangements.
• ‘Work Your World’ Program encouraging employees to work from anywhere.
• Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility).
• Business Resource Groups that support multiple affinities and alliances.