Senior Data Scientist

Digitas is the Networked Experience Agency built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today and tomorrow. We deliver Networked Experiences by leveraging comprehensive data technology creative media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences Integrated Media Addressable Relationships Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year U.S Campaigns Brand Experience Agency of the Year Media Network of the Year and celebrated by Forrester and Gartner Digitas serves the worlds leading brands through a global network comprised of more than 5500 employees across over 65 offices in 43 countries.

The Digitas culture is made up of fearless inventive and generous Unicorns of all kinds.

As a Senior Data Scientist youll solve complex marketing and business challengesfrom cross-channel media and customer experience optimization to segmentation targeting and business strategyby accessing integrating manipulating mining and modeling a wide array of data sources.

Job 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.

Were looking for rigorous analytic training and 3 years professional experience in a data science or analytics role which typically includes:

• A Bachelors or Masters 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 DALLE Midjourney) is a plus especially for tasks like ideation research or content generation.

Got the sparkle Apply if you believe your unique skills are a fit.

Additional Information

Digitas is an equal opportunity employer.

Our Publicis Groupe motto Viva La Différence means were better together and we believe that our differences make us stronger. It means we honor and celebrate all identities across all facets of intersectionality and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage dental vision disability 401K as well as parental and family care leave family forming assistance tuition reimbursement and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically please contact

All your information will be kept confidential according to EEO guidelines.