Senior Engineering Manager 1- Data Science 7 views

Position Responsibilities

· Perform hands-on data exploration, processing, and analysis on massive data sets.

· Use machine learning, deep learning and data mining techniques to develop robust predictive models and strategies for payment systems operational excellence, fraud detection and risk management.

· Design, analyze, and run both simulated and live experiments (A/B and multivariate tests) to drive KPI improvements.

· Pull data from warehouse, perform feature engineering, back-test models, compare model performances and communicate the results to stakeholders.

· Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.

· Research and develop state-of-the-art algorithms that address complex business problems.

· Own data science solutions development and implementation from end to end.

· Lead and mentor junior data scientists.

  • Participate in hiring and build high performing agile teams

· Lead a medium size team and handle the people management responsibilities

Minimum Qualifications

· Master’s degree in any STEM field with 7+ years of related experience.

· Technical expertise in data mining, machine learning, and statistical analysis.

· Proficient in machine learning and data mining packages in Python.

· Experience working with large data sets and distributed computing tools (Hadoop, Hive, Spark, or GCP).

· Programming skills in one of the following languages: SQL, Java, or JavaScript on a UNIX or Linux platform.

Preferred Qualifications

· PhD in any STEM field with 5+ years of related experience.

· Experience as a team lead.

· Risk management experience

· GCP/BigQuery hands-on experience

· Proven track record of technology innovation such as Hackathon and Blog post.

Walmart Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people

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  • Total Jobs 26 Jobs
  • Location INDIA

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