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
Collaborate 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
Build models based on statistics, econometrics, and/or machine learning techniques
Analyze big data sets to generate insights on media, market conditions, and consumer propensities
Validate model results and package them into client-friendly reports
Ensure rigorous quality control and detect anomalies in existing data models

Master’s degree in Statistics, Mathematics, Computer Science, or a related field plus 2 years of experience with data analytics 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

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
access to TransUnion’s Employee Resource Groups

Consultant, Data Science & Analytics

Key skills