Data Scientist

Company description 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 Campaign’s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world’s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries

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

Overview Our Data Scientists deliver analytic solutions across a wide variety of client applications

We build inferential and predictive models, including machine learning algorithms and AI; we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings into compelling stories that resonate with clients

As a Data Scientist, you’ll address complex marketing and business challenges—from cross-channel media and customer experience optimization to segmentation, targeting and business strategy—by accessing, integrating, manipulating, mining and modeling a wide array of data sources

Job Responsibilities: Translating marketing and business questions into data queries

Using distributed computing systems to access and manipulate big data sources

Conducting exploratory analysis to identify relevant insights and useful transformations

Applying quantitative techniques to uncover latent patterns in the data

Interpreting data, analytical results and visuals to generate conclusions and recommendations

Testing scalable data pipelines or models for real-time applications

Ensuring that analytic tasks and results meet established objectives and timelines

Sharing knowledge and conducting research to advance the collective knowledge and skills of our Data Science practice

We’re looking for relevant academic, research or work experience, which typically includes: A 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 analyzing data for patterns and insights

Hands-on experience running basic statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, supervised or unsupervised learning

Hands-on experience with Python or R

Familiarity with SQL, Linux, and/or distributed computing systems such as Hadoop or AWS preferred

Demonstrated interest in marketing analytic 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

Got the sparkle

Apply if you believe your unique skills are a fit

Additional Information Digitas is an equal opportunity employer

Additional information Our Publicis Groupe motto “Viva La Différence” means we’re 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 [email protected]

Compensation Range: $73,150- $112,554, annually

This is the pay range the Company believes it will pay for this position at the time of this posting

Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time

Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met

Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met

For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off

The Company anticipates the application deadline for this job posting will be 7/15/2026

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