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.
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 Lead Data Scientist, you are our internal expert. You’ll develop and implement multi-faceted solutions for complex marketing and business challenges—from cross-channel media and customer experience optimization to segmentation, targeting and business strategy—synthesizing just the right elements of our technical and analytical offerings.
Responsibilities
Job Responsibilities:
- Owning end-to-end analytical projects involving data engineering, data mining, data modeling, and business strategy.
- Providing Internal expertise in fundamental skill areas such as statistical methods, machine learning, AI, distributed computing, and open-source programming.
- Providing thought leadership and innovation in process, technique, and implementation.
- Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
- Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.
- Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.
Qualifications
We’re looking for rigorous analytic training and 7+ years professional experience in a data science or analytics role, which typically includes:
- Robust domain expertise in areas of statistical methods, machine learning, AI, distributed computing, and/or open-source programming languages
- Experience integrating a variety of data sources, methods, and applications to achieve specific objectives
- Experience implementing a range of statistical or machine learning methods, from basic descriptive statistics, hypothesis testing and feature transformation to complex dimension reduction, supervised or unsupervised learning, and model tuning and validation.
- Proficiency in Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.
- Demonstrated ability to communicate complex technical concepts to non-technical audiences
- Demonstrated passion for 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.
Got the sparkle? Apply if you believe your unique skills are a fit.
Additional information
