Data Scientist-W2

Job Description Required Skills Proficient in machine learning and data mining packages in Python. Programming skills in one of the following: Java or JavaScript on a UNIX or Linux platform. Experience working with large data sets and distributed computing tools (BigQuery and GCP experiences). Advanced degree (Master or Ph.D.) in any STEM field plus three years of related experience. Additional Skills Building and deploying deep learning models would be a strong plus. They prioritize candidates who come from an eCommerce background. Description: We are looking for a passionate, creative Senior Data Scientist to join the Inkiru Data Science team at Walmart Global Tech. You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce. You will be responsible for using cutting-edge machine learning, data mining, and optimization techniques to design and prototype robust, scalable predictive models and analytics solutions. You will be a part of a cross-functional team of Data Scientists, Engineers, Product Managers, and Business Professionals that sit at the intersection of Data Science, Big Data, IT infrastructure, and business operations. Responsibilities: Be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data. Design, build, and implement predictive models with high-dimensional, fast-moving real-time datasets. Use machine learning, deep learning, and data mining techniques to develop robust predictive models for anomaly detection such as E-Commerce payment risk, membership abuse risk, and risk assessment. Design, analyze, and run both simulated and live experiments (A/B and multivariate tests) to drive KPI improvements. Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally. Research new methods, tools, and techniques to address complex business problems. Minimum Qualifications: Technical expertise in data mining, machine learning, and statistical analysis. Proficient in machine learning and data mining packages in Python. Programming skills in one of the following: Java or JavaScript on a UNIX or Linux platform. Experience working with large data sets and distributed computing tools (BigQuery and GCP experiences). Advanced degree (Master or Ph.D.) in any STEM field plus three years of related experience. Additional Qualifications: Experience building and deploying deep learning models in production. Experience in the fraud detection and abuse detection domain.

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