RAPP
Role : Senior Data Scientist Team / Department : Data Science Team within Marketing Sciences Department Line Manager : SVP, Head of Data Science 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, behaviours, and aspirations. We foster an inclusive workplace that values diversity and emphasises personal well-being. THE ROLE Are you a seasoned data scientist with a passion for driving innovative solutions for clients in the marketing industry? Do you thrive in dynamic, fast-paced environments where your expertise can directly impact major global brands? If so, join our world-class Data Science team at RAPP as a Senior Data Scientist! Led by George Cushen ( ), you'll be at the forefront of leveraging AI to reinvent marketing for clients such as Ralph Lauren, KFC, and Mercedes. What You'll Do: Innovate and Optimise: Design, build, and implement pragmatic predictive models (e.g., causal AI campaign modelling, forecasting engines, price elasticity models) that drive marketing performance, personalize customer experiences, and optimize revenue for our clients. Support & Mentor: Collaborate with and provide guidance to junior data scientists - helping them grow technically and professionally. Depending on experience, this role may include oversight of smaller workstreams or the opportunity to lead sub-projects. Uncover Insights: Use predictive and prescriptive techniques to analyse data, uncover trends, and deliver actionable recommendations that have a tangible business impact. Build and Prototype: Develop data solutions, tools, and prototypes that showcase our capabilities and empower clients with self-service frameworks. Communicate Effectively: Present findings to both technical and non-technical audiences in a clear, engaging way. Collaborate and Document: Work closely with cross-functional teams in a fast-paced, client-centric environment, ensuring processes and solutions are well documented for scalability. WHAT YOU'LL BRING Must-Have: A degree in Computer Science, Mathematics, Physics, or a related field. Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more. Experience with A/B testing and other experimentation methods to validate model performance and business impact. Experience with cloud platforms (AWS, Databricks, Snowflake), containerisation tools (Docker, Kubernetes), and CI/CD pipelines. Excellent problem solving skills, attention to detail, and a growth mindset to continuously learn and adapt. Strong communication skills - capable of translating complex analyses into actionable insights for stakeholders. Nice-to-Have: Banking/Fintech experience: familiarity with data typically found in regulated or financial industries, along with knowledge of building data solutions in these domains. A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling. Exposure to advanced techniques - RNNs, NLP, Computer Vision, GenAI, CausalAI, GraphAI, etc. Hands on knowledge of model versioning (MLflow), API design (FastAPI), or dashboard building (Dash). Why You'll Love It Here: Variety and Challenge: Work on diverse projects across multiple industries, continually expanding your skills and knowledge. Innovation at the Core: We're at the forefront of applying AI in marketing - and you'll have the freedom to experiment, iterate quickly, and deliver real impact. Collaborative Culture: Join a tight knit team that values creativity, knowledge sharing, and fun. Global Impact: As part of Omnicom, you'll contribute to initiatives for some of the world's most recognisable brands. If you're excited by the prospect of joining a fast-paced, innovative environment where your work truly matters, we'd love to hear from you!
Role : Senior Data Scientist Team / Department : Data Science Team within Marketing Sciences Department Line Manager : SVP, Head of Data Science 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, behaviours, and aspirations. We foster an inclusive workplace that values diversity and emphasises personal well-being. THE ROLE Are you a seasoned data scientist with a passion for driving innovative solutions for clients in the marketing industry? Do you thrive in dynamic, fast-paced environments where your expertise can directly impact major global brands? If so, join our world-class Data Science team at RAPP as a Senior Data Scientist! Led by George Cushen ( ), you'll be at the forefront of leveraging AI to reinvent marketing for clients such as Ralph Lauren, KFC, and Mercedes. What You'll Do: Innovate and Optimise: Design, build, and implement pragmatic predictive models (e.g., causal AI campaign modelling, forecasting engines, price elasticity models) that drive marketing performance, personalize customer experiences, and optimize revenue for our clients. Support & Mentor: Collaborate with and provide guidance to junior data scientists - helping them grow technically and professionally. Depending on experience, this role may include oversight of smaller workstreams or the opportunity to lead sub-projects. Uncover Insights: Use predictive and prescriptive techniques to analyse data, uncover trends, and deliver actionable recommendations that have a tangible business impact. Build and Prototype: Develop data solutions, tools, and prototypes that showcase our capabilities and empower clients with self-service frameworks. Communicate Effectively: Present findings to both technical and non-technical audiences in a clear, engaging way. Collaborate and Document: Work closely with cross-functional teams in a fast-paced, client-centric environment, ensuring processes and solutions are well documented for scalability. WHAT YOU'LL BRING Must-Have: A degree in Computer Science, Mathematics, Physics, or a related field. Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more. Experience with A/B testing and other experimentation methods to validate model performance and business impact. Experience with cloud platforms (AWS, Databricks, Snowflake), containerisation tools (Docker, Kubernetes), and CI/CD pipelines. Excellent problem solving skills, attention to detail, and a growth mindset to continuously learn and adapt. Strong communication skills - capable of translating complex analyses into actionable insights for stakeholders. Nice-to-Have: Banking/Fintech experience: familiarity with data typically found in regulated or financial industries, along with knowledge of building data solutions in these domains. A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling. Exposure to advanced techniques - RNNs, NLP, Computer Vision, GenAI, CausalAI, GraphAI, etc. Hands on knowledge of model versioning (MLflow), API design (FastAPI), or dashboard building (Dash). Why You'll Love It Here: Variety and Challenge: Work on diverse projects across multiple industries, continually expanding your skills and knowledge. Innovation at the Core: We're at the forefront of applying AI in marketing - and you'll have the freedom to experiment, iterate quickly, and deliver real impact. Collaborative Culture: Join a tight knit team that values creativity, knowledge sharing, and fun. Global Impact: As part of Omnicom, you'll contribute to initiatives for some of the world's most recognisable brands. If you're excited by the prospect of joining a fast-paced, innovative environment where your work truly matters, we'd love to hear from you!
RAPP
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, behaviours, and aspirations. We foster an inclusive workplace that values diversity and emphasises personal well-being. YOUR ROLE The VP, Analytics Enablement leads the strategic planning and tactical execution of digital measurement solutions across RAPP client initiatives, providing technical solutions to fulfill tracking and analytics implementation goals. This person will balance team leadership and managerial responsibilities with subject matter expertise in tracking architecture, tag management, conventions and taxonomies, data engineering and martech platforms including analytics and digital media. At RAPP, Analytics Enablement exists at the intersection between analytics and technology. Your responsibilities Leads the Analytics Enablement team in the creation of tracking architecture, implementation of tagging, and validation of measurement techniques across RAPP client and agency initiatives Directly interfaces with clients, partners, and agency colleagues, communicating in a manner to inspire confidence while maintaining a documentation-first approach Authors SOWs, scope documentation, and project resource hours estimates; contributes to agency business development initiatives Conducts personnel management to foster team growth and talent retention Conceives of tracking architecture for client initiatives and campaigns, producing flow diagrams and technical specifications, thereby allowing both digital and offline interactions to be tracked, analyzed, and optimized Educates clients and agency colleagues on industry changes relevant to analytics and data privacy Authors and maintains campaign naming and URL tagging conventions and taxonomies Performs discovery of client marketing and technology ecosystems, business goals, and personnel resources Authors SOWs, scope documentation, and business development collateral by assessing level-of-effort and identifying roles, activities, and deliverables Advises on digital media tracking based on experience with Google Marketing Platform (Campaign Manager, DV360, SA360, ADH, GA4 and Ads), other DSPs, Microsoft Ads, Kenshoo, Facebook Ads, Pinterest Ads, Twitter Ads, LinkedIn Ads, Kochava / Branch MMP, and Salesforce Marketing Cloud Coordinates tag management implementation and validation through platforms such as Google Tag Manager, Ensighten, Adobe Launch, and ObservePoint Assists in definition of new or evolved client taxonomies Evangelizes the Analytics Enablement discipline and objectives to new and existing clients as well as with cross-disciplinary leadership peers in other RAPP offices to identify new opportunities, socialize existing services, and encourage widespread adoption REQUIRED SKILLS 10-15 years of analytics and technology experience, at least 5 years with Advertising, Marketing, Analytics, or Digital Media firms supporting multiple concurrent clients Experience managing an agency team, facilitating talent retention, providing growth, and mentoring opportunities, articulating actionable goals, and resolving personnel issues Experience authoring scope documents, including statements of work, hours estimates, BRDs, and milestone roadmaps Experience of working in multi-disciplinary teams - Data analytics, martech, adtech, ad ops, data engineering - to deliver tagging tracking and taxonomy solutions Experience implementing and configuring systems including web and app analytics, reporting and dashboards, and A/B/multivariate testing Experience utilizing tag management systems, including Google Tag Manager, Adobe DTM/Launch, and Ensighten to support the deployment of web and media analytics tracking tags on pageview-based websites, single-page applications, and mobile apps Experience administering Google Analytics Universal; Accounts, Properties, and Views, including the creation of Goals, Filters, Custom Dimension/Metrics, and Segments Experience administering Google Analytics 4 Experience configuring Adobe Analytics Report Suites including Classifications, SAINT, and eVars / sProps Experience with enterprise taxonomy management tools including Claravine Experience authoring SQL to query, load, transform, and retrieve data from various databases including MS SQL Server, Redshift, and PostgreSQL Experience with scripting and other languages including Python, JavaScript, CLI, HTML, CSS, and Regular Expressions a plus Experience with the architecture and deployment of mobile tracking solutions, including SDK integration, tag management container binaries, server-postbacks, and MMP providers a plus Experience with ETL-as-a-service platforms including Datorama, Fivetran, or Matillion a plus Innovative Problem-Solving & Commitment: Ability to solve complex measurement and business challenges through creativity, while maintaining a commitment to self-driven continuing education to remain current on techniques, vendors, and the wider marketing landscape Presentation & Public Speaking: Ability to produce client-ready written documents and presentation decks along with strong public speaking skills to facilitate positive in-person client meetings, agency gatherings, and the representation of RAPP in public forums Leadership & Personal Traits: Strong management skills and a proven track record of talent development; superb interpersonal and communication skills; optimistic and confident presence to inspire team growth, encourage talent retention, and motivate service offering excellence
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, behaviours, and aspirations. We foster an inclusive workplace that values diversity and emphasises personal well-being. YOUR ROLE The VP, Analytics Enablement leads the strategic planning and tactical execution of digital measurement solutions across RAPP client initiatives, providing technical solutions to fulfill tracking and analytics implementation goals. This person will balance team leadership and managerial responsibilities with subject matter expertise in tracking architecture, tag management, conventions and taxonomies, data engineering and martech platforms including analytics and digital media. At RAPP, Analytics Enablement exists at the intersection between analytics and technology. Your responsibilities Leads the Analytics Enablement team in the creation of tracking architecture, implementation of tagging, and validation of measurement techniques across RAPP client and agency initiatives Directly interfaces with clients, partners, and agency colleagues, communicating in a manner to inspire confidence while maintaining a documentation-first approach Authors SOWs, scope documentation, and project resource hours estimates; contributes to agency business development initiatives Conducts personnel management to foster team growth and talent retention Conceives of tracking architecture for client initiatives and campaigns, producing flow diagrams and technical specifications, thereby allowing both digital and offline interactions to be tracked, analyzed, and optimized Educates clients and agency colleagues on industry changes relevant to analytics and data privacy Authors and maintains campaign naming and URL tagging conventions and taxonomies Performs discovery of client marketing and technology ecosystems, business goals, and personnel resources Authors SOWs, scope documentation, and business development collateral by assessing level-of-effort and identifying roles, activities, and deliverables Advises on digital media tracking based on experience with Google Marketing Platform (Campaign Manager, DV360, SA360, ADH, GA4 and Ads), other DSPs, Microsoft Ads, Kenshoo, Facebook Ads, Pinterest Ads, Twitter Ads, LinkedIn Ads, Kochava / Branch MMP, and Salesforce Marketing Cloud Coordinates tag management implementation and validation through platforms such as Google Tag Manager, Ensighten, Adobe Launch, and ObservePoint Assists in definition of new or evolved client taxonomies Evangelizes the Analytics Enablement discipline and objectives to new and existing clients as well as with cross-disciplinary leadership peers in other RAPP offices to identify new opportunities, socialize existing services, and encourage widespread adoption REQUIRED SKILLS 10-15 years of analytics and technology experience, at least 5 years with Advertising, Marketing, Analytics, or Digital Media firms supporting multiple concurrent clients Experience managing an agency team, facilitating talent retention, providing growth, and mentoring opportunities, articulating actionable goals, and resolving personnel issues Experience authoring scope documents, including statements of work, hours estimates, BRDs, and milestone roadmaps Experience of working in multi-disciplinary teams - Data analytics, martech, adtech, ad ops, data engineering - to deliver tagging tracking and taxonomy solutions Experience implementing and configuring systems including web and app analytics, reporting and dashboards, and A/B/multivariate testing Experience utilizing tag management systems, including Google Tag Manager, Adobe DTM/Launch, and Ensighten to support the deployment of web and media analytics tracking tags on pageview-based websites, single-page applications, and mobile apps Experience administering Google Analytics Universal; Accounts, Properties, and Views, including the creation of Goals, Filters, Custom Dimension/Metrics, and Segments Experience administering Google Analytics 4 Experience configuring Adobe Analytics Report Suites including Classifications, SAINT, and eVars / sProps Experience with enterprise taxonomy management tools including Claravine Experience authoring SQL to query, load, transform, and retrieve data from various databases including MS SQL Server, Redshift, and PostgreSQL Experience with scripting and other languages including Python, JavaScript, CLI, HTML, CSS, and Regular Expressions a plus Experience with the architecture and deployment of mobile tracking solutions, including SDK integration, tag management container binaries, server-postbacks, and MMP providers a plus Experience with ETL-as-a-service platforms including Datorama, Fivetran, or Matillion a plus Innovative Problem-Solving & Commitment: Ability to solve complex measurement and business challenges through creativity, while maintaining a commitment to self-driven continuing education to remain current on techniques, vendors, and the wider marketing landscape Presentation & Public Speaking: Ability to produce client-ready written documents and presentation decks along with strong public speaking skills to facilitate positive in-person client meetings, agency gatherings, and the representation of RAPP in public forums Leadership & Personal Traits: Strong management skills and a proven track record of talent development; superb interpersonal and communication skills; optimistic and confident presence to inspire team growth, encourage talent retention, and motivate service offering excellence