Principal Data Scientist - Predictive Modeling
August 17
Description
• Enjoy applying your skills to developing new models and processes for predictive modeling. • Hands-on in creating models and overseeing the work of others. • Familiar with survey research and recommendation engine models. • Highly analytical, able to defend the validity of models by conducting hold-out analyses. • Passion for continuous improvement and driving operational efficiency in modeling speed and compute power. • Excited to build new capabilities and help drive advancement of the business.
Requirements
• Undergraduate or graduate degree in Mathematics, Statistics, Social Science, Engineering, Computer Science, Economics, Business or fields that employ rigorous data analysis and strong statistical skills. • 10+ years of relevant data science experience in implementing various types of modeling. • Prior experience with predictive modeling and specifically with recommendation engines is highly preferred. • Strong skills in Python and relevant packages, including but not limited to pytorch and familiarity with other scripting languages. • Knowledge of statistical tests and procedures such as Correlation, Regression, Hypothesis Testing, Segmentation Techniques, ANOVA, Chi-squared, Student t-test, and Time Series. • Familiarity with machine learning and data modeling techniques such as Decision Trees, Random Forests, Incremental Response Modeling, Scoring, SVM, Neural Networks, and Credit Scoring. • Strong critical thinking and creative problem solving skills. • Strong planning and organizational skills. • Strong verbal, presentation, and written skills and English fluency. • Demonstrated success and effectiveness working in a time-critical production environment. • Familiarity with SQL, Oracle or other relational database software including manipulation of large data sets. • Familiarity with BI, Spotfire, Tableau or other data visualization software and techniques. • Proficiency in MS Office suite (Excel, PowerPoint and Word) and/or Google Office Apps (Sheets, Docs, Slides, Gmail). • Knowledge of Atlassian suite of software including Bitbucket, Confluence, Jira, Hipchat, Crucible and Fisheye. • Knowledge of Apache Spark ecosystem, Databricks, and AWS.
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