Associate Director, Data Science

Digitas North America

Atlanta (GA)

On-site

USD 112,290 - 153,600

Full time

14 days+

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Benefits offered by this job

Medical coverage
Dental and vision
Flexible time off

Job summary

Digitas North America in Atlanta is looking for an Associate Director, Data Science. In this pivotal role, you will lead data science projects, support clients with actionable insights, and mentor junior team members.

We seek someone with 7–9 years of experience in data science, strong skills in statistical modeling and machine learning, and proficiency in SQL and Python. The position offers competitive compensation and a comprehensive benefits package.

Qualifications

  • 7–9 years of experience in data science, analytics, or marketing science.
  • Strong foundation in statistical modeling and machine learning.
  • Experience with cloud platforms and deploying data science solutions.

Responsibilities

  • Serve as a strategic advisor on data science applications.
  • Lead multiple concurrent data science projects.
  • Mentor and develop junior team members.

Skills

Data science
Statistical modeling
Machine learning
SQL
Python
R
Cloud platforms
Communication skills

Tools

BigQuery
Looker
DataProc

Job description

Overview

By implementing conceptual data frameworks and developing marketing science solutions, the Associate Director, Data Science is a key partner for our client and internal teams. In this role, you will show thought leadership in bringing innovative data science methodologies that answer our client's marketing and strategy questions.

Responsibilities
Client & Business Impact
  • Serve as a strategic advisor to clients and internal stakeholders on data science applications and approaches
  • Translate analytical work into clear business value and actionable recommendations
  • Identify opportunities to expand data science impact and contribute to organic account growth
Project & Cross-Capability Leadership
  • Lead multiple concurrent data science projects across clients and capabilities with varying complexity
  • Define project approach, manage risks, and align stakeholders on priorities and outcomes
  • Partner across media, strategy, analytics, and technology teams to deliver integrated solutions
  • Represent data science across cross-functional initiatives and client engagements
Thought Leadership & Innovation
  • Provide a clear point of view on statistical methods, machine learning, and measurement approaches
  • Evaluate, develop, and socialize new methodologies, tools, and AI-driven solutions
  • Apply innovative thinking to solve complex marketing and business problems
Team Leadership & Culture
  • Mentor and develop junior team members through coaching and feedback
  • Foster a collaborative, inclusive, and high‑performing team environment
  • Contribute to capability development, training, and best practices
Qualifications
  • 7–9 years of experience in data science, analytics, or marketing science within an agency, consulting, or technology environment
  • Strong foundation in statistical modeling, machine learning, causal inference, and experimental design
  • Proficiency in SQL, Python and/or R; experience with distributed systems or large‑scale data processing preferred
  • Experience with Marketing Mix Modeling (MMM), attribution, and incrementality measurement
  • Hands‑on experience with cloud platforms (preferably GCP: BigQuery, Looker, DataProc) and deploying data science solutions
  • Strong understanding of modern AI/ML approaches and their practical applications
  • Proven ability to connect data science solutions to business outcomes and client value
  • Demonstrated experience leading multiple projects and influencing cross‑functional teams
  • Experience managing and developing data science talent
  • Excellent communication skills, with the ability to synthesize complex concepts for a range of audiences
  • Comfortable navigating ambiguity in fast‑paced, evolving environments
Benefits

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. The benefits package includes medical coverage, dental, vision, disability, 401(k), parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

Compensation Range

$112,290 - $153,600. This is the pay range the Company believes it will pay for this position at the time of this posting.

EEO Statement

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

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