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Job Description
Sr. Consultants, Data Science and Analytics for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Independently deliver long term, value-added solutions to TransUnion customers through the development of statistical analytic solutions to complex problems. Provide technical leadership on various high-impact projects independently and works with other associates to get them to closure. Owns analytic consulting for a variety of clients, identifying strategies and opportunities to test adopt TransUnion’s analytic products and services. Independently leads complex custom analytic engagements for a variety of business use cases from start to finish, contributing to opportunity management, designing solutions, leading analytic developments, and seeing solutions through to deployment and on-going monitoring. Independently design and develop analytic insights/recommendations for internal and external customers. Develops advanced program initiatives or proof of concept of the product or service with cross functional across the enterprise. Facilitate alignment and clarity across teams on goals, outcomes and timelines. Mentors and trains junior colleagues, fostering a high-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand. Technical Environment: Design, architecture and testing/launching production DS products, Airflow, AWS StepFunction, Missing Value Treatments (T-SNE, UMAP), Statistical Modeling, Predictive model leveraging, Machine Learning (GBT, XGBoost, Random Forest), Building end-to-end Machine Learning pipeline from data ingestion to feature engineering to model training deployment, AWS EMR Studio, Model Validation and Visualization using statistical metrics, time series analysis, Spark SQL, MapReduce, SQL, Python (Pandas, Pytorch, Tensorflow, NLP, MT, ASR, Scikit-learn), R (dplyr, tidyr, ggplot), SAS, AWS, Linux, Hadoop, Hive, Spark, Tableau, RStudio, MySQL, C/C++, Java, Ab Initio, Cohort analysis, GLMnet. $119,000 - $135,000.
Job Requirements
Master’s degree in Statistics or a related field plus 5 years of experience in Statistical Modeling/Data Structures/Algorithms required. Required skills: Design, architecture and testing/launching production DS products, Airflow, AWS StepFunction, Missing Value Treatments (T-SNE, UMAP), Statistical Modeling, Predictive model leveraging, Machine Learning (GBT, XGBoost, Random Forest), Building End-to-end Machine Learning pipeline from data ingestion to feature engineering to model training deployment, AWS EMR Studio, Model Validation and Visualization using statistical metrics, time series analysis, Spark SQL, MapReduce, SQL, Python (Pandas, Pytorch, Tensorflow, NLP, MT, ASR, Scikit-learn), R (dplyr, tidyr, ggplot), SAS, AWS, Linux, Hadoop, Hive, Spark, Tableau, RStudio, MySQL, C/C++, Java, Ab Initio, Cohort analysis, GLMnet. Telecommuting permitted. #LI-DNI