at TransUnion LLC in Chicago, Illinois, United States
Job Description
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What We'll Bring:Transunion Marketing Solutions is looking for talented analysts with excellent quantitative and analytical skills. Our ideal candidates are determined to combine the art and science of data analytics and marketing to help clients address the complex challenges of marketing effectiveness, ROI, brand equity impact, channel effectiveness, and pricing. In this role, you'll work with cross-functional teams as a lead data scientist on multi-million dollar customer engagements. You'll build your network with the top marketing leadership in major companies across virtually all industries. You'll work with quantitative marketing data to analyze and reveal the business drivers of the Fortune 500. You will develop expertise at the intersection of big data, marketing, and consulting. Our work is not just about delivering a project and moving on to the next challenge. Instead, it's about delivering an evolving stream of value and enabling fact-based decision making.
What You'll Bring:
Experience in marketing mix models (MMM), multi-touch attribution (MTA) models, experimentation, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, and/or forecasting
Technical or programming skills to handle big data, online search, online advertising attribution and online/offline marketing optimization problems
Experience with SQL, R, Python, Spark, Matlab or similar
Bachelor's degree in mathematical or engineering background: Statistics, Data Mining, Operations Research, Econometrics, Finance, Engineering or similar
Ability to communicate effectively with audiences from other technical disciplines in both written and verbal skills
Ability to mentor junior data scientists and offshore associates
Ability to manage multiple projects with a large cross-functional team
Strong work ethic with the ability to learn in a fast-paced environment
We'd Love to See:
4+ years of quantitative analytics experience with marketing metrics and tracking, marketing analytics, and attribution modeling
3+ years of work in Digital Analytics with hands-on experience in Adserver/Web Analytics Logs
2+ years of experience mentoring junior data scientists
Impact You'll Make:
You'll help clients know everything they can about their customers and prospects, deliver exceptional customer experiences, and know if their marketing worked and how to make it better.
You'll help diagnose business needs, translate into questions that Transunion will answer, and architect data models to implement our solutions.
You'll work closely with other data scientists, consultants, and external clients to identify new insights, translate findings into the stakeholder's native language and tell stories to make complex things simple to understand.
Implement multi-touch attribution models (MTA), marketing-mix models (MMM), and experimentation studies to address marketing effectiveness, return on investment (ROI), brand equity impact, segmentation, pricing, and environmental factors
Design the unified model structure, variable entities, and variable transformations
In our TransUnion proprietary analytics platform build multi-touch attribution models (MTA) and marketing mix models (MMM) that are based on statistics, econometrics, and/or machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, clustering algorithms, etc.
Analyze big data sets to generate deep insights on paid media, organic media, market conditions, web navigations, and individuals' propensities on multi-step conversion activities in the consumer journeys
Validate model results and package them into insightful client-friendly reports on ROI analysis, forecasting, simulation and optimization
Ensure rigorous quality control and detect anomalies in the model with ongoing new data stream
Oversee all analytics work stream and mentor onshore/offshore data scientists
Participate in client meetings and lead analytics discussions
Collaborate with external client teams to ensure alignment on modeling methodologies, model validation metrics, actionable insights, and analytical/technical best practices, and help to enhance our analytic solutions for client needs
Cross-functional leadership and best practices
Interact with multiple functional teams across the firm to provide and improve our... For full info follow application link.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.
