Job Description

What We’ll Bring:

At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

What You’ll Bring:

• Our ideal candidates possess a combination of academic or professional work experience in marketing mix models (MMM), multi-touch attribution (MTA) models, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, and/or forecasting
• Technical or programming skills to solve large-scale information, online search, online advertising attribution and online/offline marketing optimization problems
• Experience with Hadoop, Hive, SQL, R, Python, Spark, Matlab or similar is required
• 10+ years of quantitative analytics experience with marketing metrics and tracking, marketing analytics, and attribution modeling is highly desirable
• 3-7 years of work in Digital Analytics with hands-on experience in Adserver/Web Analytics Logs is highly desirable
• 3-7 years of work in digital AdTech industry with thorough understanding of digital metrics is highly desirable
• 3+ years of mentoring junior data scientists is desirable
• Bachelor’s degree (required) or above (preferred) with 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 modelers 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, adapt to the situation, be flexible and nimble in terms of work planning, and to think quickly on your feet

Impact You’ll Make:

• Own our unified analytics solution by building multi-touch attribution models (MTA) and marketing-mix models (MMM) 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 Neustar 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 associates
• Enhance Neustar’s analytics thought leadership in big-data analytics applications, specifically related to the AdTech Ecosystem
  • Develop next gen attribution algorithms for unified consumer-centric solutions that incorporate new data assets such as individuals identity data, cross-devices, addressable TV, segmentation and targeting
  • Lead the analytics team strategically in identifying current issues, new marketing trends, and emerging trends in marketing analytics to enhance our analytic solutions
• 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 lead enhancing our analytic solutions for client needs
  • Represent Neustar analytics in a variety of settings (e.g., sales, conferences, C-level presentations, etc.) and support overall accounts on a need basis
• Cross-functional leadership and best practices
  • Interact with multiple functional teams across the firm to provide and improve our end-to-end solution and implement new analytics capabilities: Data Operations, Solution Architects, Consulting Services, Product and Engineering
  • Drive and define cross-functional best practices ensuring quality delivery and instituting processes to improve efficiency of our analytic solutions
• Data Science and Analytics team leadership
  • Mentor overall analytics team’s associates while coordinating with cross-functional leads to align against broader business objectives and team development
  • Recruit, train, inspire, mentor, and develop the next gen analytics team

Benefits:

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, additional (following any short-term disability) 10 weeks of parental leave with gradual return, adoption assistance, fertility coverage, spousal and domestic partner benefits, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion’s Employee Resource Groups.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

Pay Scale Information :

The salary range for this position is $135,010.00 – $228,800.00. *The salary range for this position reflects the general range of compensation for this job and does not include our bonus incentive(s). This position is eligible for bonus incentive(s). At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, industry knowledge, as well as the scope and responsibilities of the position, and market considerations.

How to Apply

Job Types: Full-Time. Job Tags: #r, Hadoop, hive, Matlab, python, Spark, and sql. Salaries: 100,000 and above.

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