Director, Data Science

Posted 16 Hours Ago
Be an Early Applicant
Chicago, IL
140K-160K Annually
Senior level
Agency
The Role
The Director, Data Science leads a data science team to leverage customer and campaign data for actionable insights, algorithms, and solutions in marketing. Responsibilities include applying machine learning techniques, data engineering, managing client projects, and building a team of data scientists.
Summary Generated by Built In

RAPP Chicago is looking for a Director, Data Science to join our award-winning Marketing Sciences team.

WHO WE ARE:

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual's needs, beliefs, behaviors, and aspirations.

We foster an inclusive workplace that values diversity and emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.
Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we're able to activate authentic customer connections for our clients.
Part of Omnicom's Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets.

YOUR ROLE:

The Director, Data Science heads a team of Advanced Analytic Solutions data scientists in leveraging a holistic view of customer and campaign data to provide actionable insights, algorithms, and computational solutions to real-world marketing challenges through the application of technology-based mathematical methods. Under the direction of the VP/SVP, Advanced Analytics Solutions (AAS), the Director, Data Science drives the development and implementation of the vision for RAPP's offering from a multitude of data sources leveraging a variety of systematic techniques to deliver value for our clients. The Director, Data Science works with multidisciplinary teams to inform, power, measure, and optimize marketing efforts.

RESPONSIBILITIES:

  • Leverage Machine Learning and Artificial Intelligence on behalf of RAPP clients to drive Customer Experience and Marketing Optimization to include but not limited to:
    • Profile-based, Behavioral, LTV and other Customer Segmentation frameworks
    • Propensity, Look-Alike, Loyalty, Response, Net Lift, Journey Pathing, Recommender, and other customer-focused models
    • Media Mix and Marketing Attribution models
    • Leads, sales, and other KPI time series forecasting models
  • Perform necessary Data Engineering tasks to create prototypes of the above tools and to create requirements for the RAPP Technology team to implement tools promoted to production
  • Research and apply new techniques and tools which drive value for RAPP clients
  • Manage competing priorities across a portfolio of client projects
  • Partner with RAPP Analytics, Technology/Data, Account, Strategy, Campaign, Project Management, and Media Planning teams as needed to drive insights and value for RAPP clients
  • Deep understanding and expertise of digital marketing ecosystem modeling and insights, including but not limited to display, programmatic, video, social, email, and direct mail.
  • Attract, Nurture and Retain the best talent; Build and manage a team of data scientists capable of meeting needs of agency and client.

REQUIREMENTS:

  • Master's degree in a relevant academic practice (e.g. Computer Science, Applied Mathematics, Engineering, Statistics, Data Science, etc.)
  • 8+ years relevant work experience
  • Proven proficiency with common languages used in Data Science: Python, R, SQL
  • Experience interacting directly with external Clients
  • Experience managing or mentoring experienced and entry-level Data Scientists
  • Proficiency in working with structured and unstructured data and APIs
  • Proficiency in statistics, model building, machine learning, and algorithm construction
  • Proven communication and presentation skills

DESIRABLE:

  • Automotive or Pharma industry experience
  • Familiarity with Databricks and AWS stack: Sagemaker, Redshift, S3, EC2, Glue, Athena
  • Agency experience a plus
  • Experience with Spark, Scala
  • Familiarity with Natural Language Processing and Image Recognition


Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. 

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $140,000 - $160,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

"As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status."

NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

Top Skills

Artificial Intelligence
Machine Learning
The Company
HQ: New York, NY
1,766 Employees
Hybrid Workplace
Year Founded: 1965

What We Do

We are a global creative agency, but the individual is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one – but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again.

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