Consultant, Data Science & Analytics

Team Overview Consultants, Data Science & Analytics for various & unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Work with quantitative marketing data to analyze and reveal business drivers. Utilize technical skills to handle big data, online search, online advertising attribution, and online/offline marketing optimization problems using SQL, R, Python, Spark, Matlab, or similar. Work closely with other data scientists, consultants, and external clients to identify new analytic insights. 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. 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, and clustering algorithms. 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 existing data models utilizing ongoing new data streams. Technical environment: Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), SQL, MySQL, PostgreSQL, AWS (S3, Redshift, Glue, Lambda), Apache Spark, PySpark, A/B testing, causal inference, machine learning, data architecture, data analysis, and statistical modeling, MMM, MTA. Job Requirements Masters’s degree in Statistics, Mathematics, Computer Science, or a related field plus 2 years of experience with data analytics required. Required skills: Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), SQL, MySQL, PostgreSQL, AWS (S3, Redshift, Glue, Lambda), Apache Spark, PySpark, A/B testing, causal inference, machine learning, data architecture, data analysis, and statistical modeling, MMM, MTA. Telecommuting Permitted. Benefits & Pay Scale Information: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. The U.S. base salary range for this position is $96,928/yr-$123,300/yr + benefits (www.transunion.com/about-us/careers/life-at-tu).annually. Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may also be eligible for long-term incentives and other payments based on applicable company guidance and plan documents. Benefits that support every part of your life: At TransUnion, we design benefits to help you Apply tot his job Apply To this Job