Senior Data Scientist

Publicis Groupe•Plano, TX

4d•$87,210 - $125,265•Hybrid

About The Position

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 This role sits in our Plano Office 3 days a week. The Data Science team uses data-driven insights and recommendations to fuel strategic growth for clients through building industry-leading analytical solutions. We apply bespoke and cutting-edge arsenal of analytical, statistical and machine learning techniques to complex problems at scale, with an emphasis on game-changing and measurable business impact. We work in close collaboration with colleagues across all agency disciplines to develop truly innovative, highly effective, data-powered solutions for our clients. We're seeking a Senior Data Scientist who is intellectually curious, creative, and eager to solve both familiar and novel data challenges. If you thrive on turning data into actionable insights and enjoy working in a fast-paced, collaborative environment, we want to hear from you. Responsibilities As a Senior Data Scientist, you'll partner with the business leaders and diverse stakeholders to solve complex marketing challenges and deliver impact — from cross-channel media and customer experience optimization to segmentation, targeting and business strategy — through analytics, machine learning and statistical methods. Day-to-day, your role includes: Translate complex marketing and business questions into clear, actionable analytical plans. Conduct extensive exploratory and statistical analyses to uncover actionable insights. Apply advanced machine learning, causal inference, and statistical techniques to optimize marketing strategies, campaign effectiveness, and customer experiences. Build and test scalable data pipelines and models for real-time applications. Summarize, visualize, communicate and document analytic concepts, processes and results for technical and non-technical audiences Collaborate cross-functionally to define analytical objectives, approaches, and timelines, ensuring alignment on goals and impact. Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of a variety of business areas. Proactively explore trends in marketing and digital performance and stay up-to-date with latest AI/ML advancements to surface future opportunities. Share knowledge, debate techniques, and conduct research to advance the collective knowledge and skills of our Data Science practice. Work independently and drive your own projects.

Requirements

MS or PhD in Computer Science, Statistics, Mathematics, or a related field
+4 years of industry experience in data science and marketing field
Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
Experience in media performance analytics such as attribution modeling, incrementality testing and advance measurement methodologies.
Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred)
Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and DataProc
Exceptional communication and presentation skills with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise.
Comfort with ambiguity; ability to thrive with minimal oversight and process.
Embodies Digitas values while bringing a new perspective to continue improving our culture.

Responsibilities

Translate complex marketing and business questions into clear, actionable analytical plans.
Conduct extensive exploratory and statistical analyses to uncover actionable insights.
Apply advanced machine learning, causal inference, and statistical techniques to optimize marketing strategies, campaign effectiveness, and customer experiences.
Build and test scalable data pipelines and models for real-time applications.
Summarize, visualize, communicate and document analytic concepts, processes and results for technical and non-technical audiences
Collaborate cross-functionally to define analytical objectives, approaches, and timelines, ensuring alignment on goals and impact.
Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of a variety of business areas.
Proactively explore trends in marketing and digital performance and stay up-to-date with latest AI/ML advancements to surface future opportunities.
Share knowledge, debate techniques, and conduct research to advance the collective knowledge and skills of our Data Science practice.
Work independently and drive your own projects.