Director, Data Science

RAPP Chicago

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profile Job Location:

Chicago, IL - USA

profile Monthly Salary: $ 135000 - 148500
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

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 individuals needs beliefs behaviors and aspirations.

We foster an inclusive workplace that 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 were able to activate authentic customer connections for our clients.

Part of Omnicoms Precision Marketing Group RAPP is comprised of 2000 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 Advanced Analytics Solutions (AAS) the Director Data Science drives the development and implementation of the vision for RAPPs 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:

  • Masters 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 industry experience
  • Familiarity with Databricks and the 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:

RAPPs 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 wed 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 . A reasonable estimate of the salary for this role at the time of posting is $135000 - $148500. 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.


Required Experience:

Director

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 empat...
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A global creative marketing agency that knows how to speak to one individual, a million at a time.

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