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Director, Data Science

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.

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Average salary estimate

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$140000K
$160000K

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What You Should Know About Director, Data Science , RAPP

RAPP Chicago is on the lookout for a talented Director of Data Science to join our award-winning Marketing Sciences team. At RAPP, we pride ourselves on being leaders in precision marketing, using creativity and data to foster client growth in a truly empathetic manner. Our team of fearless superconnectors thrives on creating value through connected data and insights, making this a fantastic opportunity for someone who wants to make a real impact. As the Director of Data Science, you will lead a dynamic team of data scientists, utilizing a holistic view of customer data to derive actionable insights that address real-world marketing challenges. You'll dive deep into analytics, leveraging machine learning and AI to optimize marketing strategies for our clients. Managing a portfolio of client projects, you'll partner with various teams to drive insights while nurturing talent within your own data science team. Your expertise in digital marketing ecosystems, along with your proven experience in Python, R, and SQL, will be invaluable in refining our marketing strategies. Plus, you'll enjoy the benefits of a hybrid work model that supports flexibility while fostering in-person connections. This is not just a job; it’s a chance to excel in a collaborative, inclusive environment that values your individuality. If you're ready to take your career to the next level at a company that champions innovation and customer connection, consider joining RAPP Chicago as our next Director of Data Science.

Frequently Asked Questions (FAQs) for Director, Data Science Role at RAPP
What qualifications are required for the Director of Data Science position at RAPP?

To qualify for the Director of Data Science position at RAPP, candidates should have a Master's degree in a relevant field such as Computer Science, Applied Mathematics, or Data Science. Additionally, 8+ years of relevant work experience and proven proficiency with languages like Python, R, and SQL are essential.

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What responsibilities will I have as the Director of Data Science at RAPP?

As the Director of Data Science at RAPP, you will oversee a team of data scientists, using advanced analytics to provide actionable insights. Responsibilities include leveraging machine learning techniques, developing customer segmentation frameworks, and collaborating with multidisciplinary teams to optimize marketing strategies for our clients.

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How does RAPP support its employees in the Director of Data Science role?

RAPP supports its employees by offering a hybrid work model that allows for both in-office collaboration and remote work flexibility. Additionally, RAPP provides competitive salaries, comprehensive benefits, and opportunities for ongoing professional development and mentorship in the data science realm.

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What types of projects will I work on as a Director of Data Science at RAPP?

In the role of Director of Data Science, you will work on various projects that include customer segmentation frameworks, predictive modeling for customer behaviors, and media mix modeling. You will utilize both structured and unstructured data to create solutions that enhance marketing performance for RAPP’s clients.

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Is prior experience in specific industries preferred for the Director of Data Science role at RAPP?

While experience in any industry is valuable, RAPP particularly values candidates with backgrounds in the automotive or pharmaceutical sectors, as well as those with experience in agency environments. Familiarity with tools like Databricks and AWS is also a plus.

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What is the team structure like for the Director of Data Science at RAPP?

As the Director of Data Science at RAPP, you will lead a team of data scientists and collaborate with other teams including analytics, technology, account management, and strategy. This multidisciplinary approach ensures that comprehensive insights and innovative solutions are provided to clients.

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What is the salary range for the Director of Data Science position at RAPP in Chicago?

For the Director of Data Science position at RAPP in Chicago, the salary range is estimated to be between $140,000 and $160,000, depending on various factors such as skill set, experience, and certifications.

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Common Interview Questions for Director, Data Science
Can you describe your experience with machine learning models in your previous roles?

When answering this question, focus on specific projects where you applied machine learning techniques. Describe the models you used, the results you achieved, and how they impacted business outcomes.

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How do you approach customer segmentation in your data science work?

Explain your methodology for customer segmentation, including any tools or algorithms you prefer. Discuss how you tailor these segments to address marketing strategies effectively.

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What data sources do you find most valuable for driving marketing insights?

Discuss your experience with various data sources, emphasizing structured vs. unstructured data. Provide examples of how specific data sources have informed marketing decisions in your past roles.

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How do you balance multiple projects with competing deadlines?

Share your time management strategies and tools you use to prioritize tasks. Highlight an example where you successfully handled competing priorities and achieved successful outcomes.

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What experience do you have with using Python or R for data manipulation?

Outline your proficiency with Python or R, giving examples of projects where you utilized these languages for data analysis and manipulation. Discuss specific libraries or frameworks you are familiar with.

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Can you explain a time you mentored a junior data scientist?

Describe the situation, your approach to mentoring, and the development outcomes. Emphasize your communication skills and ability to lead and nurture talent.

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How would you implement a customer-focused model for marketing attribution?

Discuss the key components of a marketing attribution framework you've developed or worked on. Highlight methodologies, data sources, and how you verified the model's effectiveness.

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What role does data visualization play in your analytics process?

Talk about the tools you prefer for data visualization and how they complement your data analysis process. Provide an example where effective visualization helped support your findings.

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How do you stay updated on the latest data science trends and technologies?

Share the professional organizations, online courses, or literature you engage with to stay informed about advancements in data science. Discuss how this knowledge has influenced your work.

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Why do you want to join RAPP as the Director of Data Science?

Express your admiration for RAPP’s innovative approach to precision marketing and explain how your skills align with their mission. Be sincere and relate this to your career aspirations.

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Startup Mindset
Collaboration over Competition
Growth & Learning
Inclusive & Diverse

OUR WHOLE JOB IS TO CONVINCE ONE PERSON To click that button. Watch that film. Buy that thing. To do that, we must get the most motivating message to them at the most appropriate time. Good thing that our data analysts know who that person is. Our...

36 jobs
MATCH
VIEW MATCH
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$140,000/yr - $160,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 26, 2024

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