Senior Data Scientist — Marketing Analytics & ML

Publicis Groupe Holdings B.V; New York (NY); On-site; USD 89,000 - 142,000; Full time

Job summary

Digitas in New York is seeking a Senior Data Scientist to tackle complex marketing and business challenges by integrating diverse data sources, building predictive models, and informing strategic decisions.

You will translate questions into analytical plans, apply statistical and machine learning methods, develop scalable pipelines, and communicate findings clearly to technical and non-technical stakeholders.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
• Hands-on experience mining data for decision-focused insights.
• Hands-on experience running common statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, dimension reduction, feature transformation, supervised or unsupervised learning.
• Hands-on experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.
• Demonstrated interest in marketing analytical applications.
• Demonstrated self-starter who thrives in a fast-paced environment with flat structure.
• Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

Responsibilities

• Translating and reframing marketing and business questions into analytical plans.
• Using distributed computing systems to ingest, access and integrate disparate big data sources.
• Conducting extensive exploratory analysis to identify relevant insights, useful transformations and analytical applications.
• Applying quantitative techniques, including statistical and machine learning, to uncover latent patterns in the data.
• Building and testing scalable data pipelines or models for real-time applications.
• Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.
• Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
• Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.

Skills

Python

R

SQL

Statistics

Machine Learning

Data Visualization

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

Hadoop

AWS

Linux

Spark

Job description

Digitas in New York is seeking a Senior Data Scientist to tackle complex marketing and business challenges by integrating diverse data sources, building predictive models, and informing strategic decisions.

You will translate questions into analytical plans, apply statistical and machine learning methods, develop scalable pipelines, and communicate findings clearly to technical and non-technical stakeholders.