Principal Statistician

NeuStar, Inc. New York, NY
Neustar, Inc. is a leading global information services provider driving the connected world forward with trusted, holistic identity resolution. More information is available at https://www.home.neustar.

Job Requisition:

R-1730 Principal Statistician (Open)

Primary Location:

NEW YORK

Job Description:

What You'll Be Doing:

* 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

* Build analytic attribution models and marketing mix models using advanced 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, decision trees, etc.

* Quantify the impact of paid media, organic media, web navigations, and individuals' propensities on multi-step conversion activities in the consumer journeys

* Analyze cookie level data sets to generate deep insights on consumer conversion paths related to media overlap, recency, frequency, and targeting

* Validate the model using statistical diagnostic techniques, attribution results, ROI, forecasting, simulation and optimization

* Ensure rigorous quality control and detect anomalies in the model with ongoing new data stream

* 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

* Collaborate client data science 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

* Interdisciplinary work: interact with multiple teams across the firm to provide and improve our end-to-end solution and implement new analytics capabilities: Data Operations, Solution Architects, Advisory Services, Product and Engineering

* Mentor junior modelers on a daily basis and develop training programs, while coordinating with cross-functional leads in order to align against broader business objectives and team development

Skills, Talents, Experience You Will Need:

* You will have experience specifically in Algorithmic Attribution or Last Click Attribution, Predictive Models, Marketing Mix Models, Shopping Basket Analysis, Targeting and Next Best Actions.

* Our ideal candidates possess a combination of academic or professional work experience in marketing mix modeling, digital attribution modeling, 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

* 7+ 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

* 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 well with colleagues from other technical disciplines

* Ability to mentor junior data scientists

* Ability to manage multiple projects with a large cross-functional team

* Strong work ethic with the ability to adapt to the situation, be flexible and nimble in terms of work planning, and to think quickly on your feet

Neustar does not accept unsolicited resumes from external firms or agencies. Neustar will not be responsible for placement fees associated with unsolicited resumes.

DIVERSITY

Diversity, inclusion and teamwork are second nature to Neustar; and these values permeate our entire business structure. Neustar is committed to creating an environment where a wide spectrum of opinions and beliefs are actively sought, listened to and respected. Further, our talented workforce draws from the many geographic areas and markets in which Neustar operates worldwide, which represents a distinct competitive advantage. The rich and varied personal and professional backgrounds of our employees make Neustar a dynamic and rewarding company at which to build a career. We invite you to join us.

EOE of Minorities/Females/Vets/Disability

Neustar, Inc. considers all applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, or status as a Vietnam-era or special disabled veteran in accordance with federal law and other state and local requirements. Neustar, Inc., complies with applicable state and local laws prohibiting discrimination in employment and provides reasonable accommodation to qualified individuals with disabilities in accordance with the American with Disabilities Act (ADA) and applicable state and local laws.