RAPP
SVP, Marketing Sciences Lead - Data Science
RAPP, Chicago, Illinois, United States, 60290
RAPP Chicago is looking for a SVP, Marketing Sciences Lead - 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.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.
Ensure you read the information regarding this opportunity thoroughly before making an application.
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 :We’re currently looking for a talented, motivated, ambitious and innovative SVP, Marketing Sciences Lead (Data Sciences) who has a passion for all things data but primarily the ability, understanding and application the latest data science techniques in both creation / activation and ongoing maintenance and optimization.This individual will be able to use their data science capability to accurately enhance our understanding of and treatment of our clients’ customers as well as be able to identify how we can use data to transform all parts of our clients’ organizations and value chain with intelligent operationally efficient solutions.This individual will be able to transform the complex into clear and compelling solutions to clients and deliver these in presentation and person articulately and confidently.As the SVP, you will be a vision setter in the department and manage our implementation of strategic initiatives. You will create the organization team structure you need for success and be accountable for the delivery of your team.Whilst you will drive forward the client work you oversee, you will also drive efficiency and innovation in the Data Science team by ensuring your team is developing new products and playbooks, that can scale our solutions and create consistency in exceeding client needs.We expect you to be T-shaped in your understanding and application of all things data science. By this we mean your primary strength will lie in the application and understanding of data science (with strong capability in segmentation, modelling, machine learning, and attribution) and the latest code and algorithms available to lead in this discipline alongside a strong knowledge in data engineering / technology requirements that will enable your team to build and activate your work, as well as a good understanding of the other 3 disciplines in the department.This is an excellent opportunity for data scientist wanting to make a difference, disrupt and make an impact to join and lead a growing, very motivated and curious team. We want to lead the industry not follow it.Evolution is incredibly important in the Marketing Sciences team and all members have portion of their time dedicated to this. We will expect you to engage in training as well and lead the direction of the training to ensure you and the team continue to make sure we are delivering best in class outputs and disrupting the industry rather than following it.YOUR RESPONSIBILITIES :ManagementYou will need to run the department and its evolution
Competency mapping and training guides to advance the team’s careersCreation and maintenance of product guides and best practice for segmentation and model builds, MLOps, advanced attributionCreation, sharing and maintenance of codeResource management
Motivate them behind your vision
Develop their skills and design objectives accordinglyEnsure they are bought into where the agency is going and the team’s role within itMake sure they feel part of the agency / part of the teamMake sure they feel this is a place which will put them at the cutting edge of their discipline and a place to invest in
Work hand in hand with Marketing Sciences leadership team and Head of Marketing Sciences to evolve your own discipline and team, and help shape othersClientUnderstanding clients’ objectives, their business and KPIs and step change their businesses through the power of dataCreation of data science roadmaps for allUnderstand the data science techniques to be able to deliver the right message to the right individual at the right time across customer journeys and be able to write the Data Science roadmaps to deliver this.
Understand how to deliver your vision through the right marketing technology stack / platforms and data science pipeline / engineering requirements
Understand the contextual footprint required to truly understand consumer behaviors and decision making for advanced test set up and attributionMaintaining relations with senior practitioners on the client side in the Marketing Sciences disciplineBecome their trusted partnerBe able to sell your vision with well-designed and presented documentsWriting documents explaining the analysis undertaken to our clients in seamless language but that sells confidence as well New Business / PRLeading data science solutions / answers to relevant New Business opportunities
Contributing to RFIs / RFPs / Pitching
Writing thought pieces / attending (networking) and presenting at conferencesParticipating in industry wide hackathons / challengesNetworkHelp the Head of Marketing Sciences grow the reputation of the US teamLead, take part in and drive forward the Global Marketing Sciences communityBe the lead in our Centre of Excellence globally for AIEvolutionDrive the team’s and your constant evolution with clear directionEnsure as an agency we are kept abreast of the latest trends in the marketplace and are set up to meet themHave a clear focus and passion on innovation, staying restless and always looking for new trends / opportunities for the agency and our clientsEnsure we continually update our clients on the latest innovations and transformations that they need to be aware of
Create a name for our Data Science discipline in the Network and in the Industry – be groundbreaking!
SKILLS AND EXPERIENCEBachelor’s Degree in a quantitative subject (Science / Tech / Engineering or Mathematics); Master’s degree or PHD is a real plus.15+ years of relevant experience in marketing analytics, customer experience insights, performance optimization, ideally in a marketing agency or management consulting practice.Strong management experience of large fast-growing teamsExcellent statistical background / knowledge
Hands-on experience of statistical analysis techniques such as propensity modelling and segmentation and advanced attribution
Advanced Python capability (ideally R too)Advanced SQL capabilityGit, Git Hub capabilitySpark / Scala capabilityUnderstand old and new machine learning techniques (good knowledge of auto ML capability offerings)Strong hands-on capability with the latest deep learning techniquesStrong understanding of the importance of taxonomy, tagging and tracking for advanced attributionPrevious experience of working with large data sets, databases and the ability to understand database design, engineering and the stitching together of all formats of data [O, 1st, 2nd 3Rd party].
Knowledge of how to drive real time omni-channel data driven messaging – next best experience decision engine creation and platform delivery requirements.Knowledge of best-in-class data science workbenches and auto ML. Understand pros and cons, how they should be set up / function efficiently with multiple internal and client teams
Experience of / in data driven advanced attribution [MMM / MTA]Experience across cloud architectures: AWS / GCP / AzureStrong understanding of open source environments and the development in cognitive services both free and paid forDesirable but not essential:C / C++ capabilityKnowledge of web analytics online tools such as Google Analytics, Adobe Analytics, Adobe Test and TargetKnowledge of visualization tools: Tableau / PowerBI / Datorama.Knowledge of platforms and tools such as DatabricksOur 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 $200,000 - $240,000. 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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WHO WE ARE:We are RAPP – world leaders in activating growth with precision and empathy at scale.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.
Ensure you read the information regarding this opportunity thoroughly before making an application.
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 :We’re currently looking for a talented, motivated, ambitious and innovative SVP, Marketing Sciences Lead (Data Sciences) who has a passion for all things data but primarily the ability, understanding and application the latest data science techniques in both creation / activation and ongoing maintenance and optimization.This individual will be able to use their data science capability to accurately enhance our understanding of and treatment of our clients’ customers as well as be able to identify how we can use data to transform all parts of our clients’ organizations and value chain with intelligent operationally efficient solutions.This individual will be able to transform the complex into clear and compelling solutions to clients and deliver these in presentation and person articulately and confidently.As the SVP, you will be a vision setter in the department and manage our implementation of strategic initiatives. You will create the organization team structure you need for success and be accountable for the delivery of your team.Whilst you will drive forward the client work you oversee, you will also drive efficiency and innovation in the Data Science team by ensuring your team is developing new products and playbooks, that can scale our solutions and create consistency in exceeding client needs.We expect you to be T-shaped in your understanding and application of all things data science. By this we mean your primary strength will lie in the application and understanding of data science (with strong capability in segmentation, modelling, machine learning, and attribution) and the latest code and algorithms available to lead in this discipline alongside a strong knowledge in data engineering / technology requirements that will enable your team to build and activate your work, as well as a good understanding of the other 3 disciplines in the department.This is an excellent opportunity for data scientist wanting to make a difference, disrupt and make an impact to join and lead a growing, very motivated and curious team. We want to lead the industry not follow it.Evolution is incredibly important in the Marketing Sciences team and all members have portion of their time dedicated to this. We will expect you to engage in training as well and lead the direction of the training to ensure you and the team continue to make sure we are delivering best in class outputs and disrupting the industry rather than following it.YOUR RESPONSIBILITIES :ManagementYou will need to run the department and its evolution
Competency mapping and training guides to advance the team’s careersCreation and maintenance of product guides and best practice for segmentation and model builds, MLOps, advanced attributionCreation, sharing and maintenance of codeResource management
Motivate them behind your vision
Develop their skills and design objectives accordinglyEnsure they are bought into where the agency is going and the team’s role within itMake sure they feel part of the agency / part of the teamMake sure they feel this is a place which will put them at the cutting edge of their discipline and a place to invest in
Work hand in hand with Marketing Sciences leadership team and Head of Marketing Sciences to evolve your own discipline and team, and help shape othersClientUnderstanding clients’ objectives, their business and KPIs and step change their businesses through the power of dataCreation of data science roadmaps for allUnderstand the data science techniques to be able to deliver the right message to the right individual at the right time across customer journeys and be able to write the Data Science roadmaps to deliver this.
Understand how to deliver your vision through the right marketing technology stack / platforms and data science pipeline / engineering requirements
Understand the contextual footprint required to truly understand consumer behaviors and decision making for advanced test set up and attributionMaintaining relations with senior practitioners on the client side in the Marketing Sciences disciplineBecome their trusted partnerBe able to sell your vision with well-designed and presented documentsWriting documents explaining the analysis undertaken to our clients in seamless language but that sells confidence as well New Business / PRLeading data science solutions / answers to relevant New Business opportunities
Contributing to RFIs / RFPs / Pitching
Writing thought pieces / attending (networking) and presenting at conferencesParticipating in industry wide hackathons / challengesNetworkHelp the Head of Marketing Sciences grow the reputation of the US teamLead, take part in and drive forward the Global Marketing Sciences communityBe the lead in our Centre of Excellence globally for AIEvolutionDrive the team’s and your constant evolution with clear directionEnsure as an agency we are kept abreast of the latest trends in the marketplace and are set up to meet themHave a clear focus and passion on innovation, staying restless and always looking for new trends / opportunities for the agency and our clientsEnsure we continually update our clients on the latest innovations and transformations that they need to be aware of
Create a name for our Data Science discipline in the Network and in the Industry – be groundbreaking!
SKILLS AND EXPERIENCEBachelor’s Degree in a quantitative subject (Science / Tech / Engineering or Mathematics); Master’s degree or PHD is a real plus.15+ years of relevant experience in marketing analytics, customer experience insights, performance optimization, ideally in a marketing agency or management consulting practice.Strong management experience of large fast-growing teamsExcellent statistical background / knowledge
Hands-on experience of statistical analysis techniques such as propensity modelling and segmentation and advanced attribution
Advanced Python capability (ideally R too)Advanced SQL capabilityGit, Git Hub capabilitySpark / Scala capabilityUnderstand old and new machine learning techniques (good knowledge of auto ML capability offerings)Strong hands-on capability with the latest deep learning techniquesStrong understanding of the importance of taxonomy, tagging and tracking for advanced attributionPrevious experience of working with large data sets, databases and the ability to understand database design, engineering and the stitching together of all formats of data [O, 1st, 2nd 3Rd party].
Knowledge of how to drive real time omni-channel data driven messaging – next best experience decision engine creation and platform delivery requirements.Knowledge of best-in-class data science workbenches and auto ML. Understand pros and cons, how they should be set up / function efficiently with multiple internal and client teams
Experience of / in data driven advanced attribution [MMM / MTA]Experience across cloud architectures: AWS / GCP / AzureStrong understanding of open source environments and the development in cognitive services both free and paid forDesirable but not essential:C / C++ capabilityKnowledge of web analytics online tools such as Google Analytics, Adobe Analytics, Adobe Test and TargetKnowledge of visualization tools: Tableau / PowerBI / Datorama.Knowledge of platforms and tools such as DatabricksOur 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 $200,000 - $240,000. 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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