Required Technical Skills

• 4+ years of industry experience analyzing data and developing supervised and unsupervised models; including variable selection, feature engineering, model generation, model diagnostics, interpretability, and deployment.
• 4+ years of experience writing complex SQL queries and working with large datasets in cloud/Hadoop-based environments. Experience writing Hive and Spark jobs.
• 3+ years of experience with data visualization tools (D3 Js, R Shiny, Looker, Tableau, or similar); able to determine the appropriate visualization for a variety of data types and create compelling stories with data.
• 4+ years of experience deploying Machine Learning algorithms in a production environment.
• 2+ years of experience developing Deep Learning based solutions for the production environment.
• Experience working with cloud software services and an understanding of design for scalability, performance and reliability.
• Experience with distributed systems (Docker, Kubernetes, Kafka, or Spark)
• Experience collaborating with engineers to deliver models integrated into live services.
• Experience in Reinforcement Machine Learning is a plus.

Key Responsibilities

• Manage data science projects through all phases, including data quality, data modeling, algorithm/feature development, statistical analysis, and data visualization.
• Partner with stakeholders across the global organization and own multiple roadmap workstreams to enable us to use advanced ML and DL techniques to solve complex business problems.
• Ideate problem statements with the team to put the best solution statements forward to our stakeholders.
• Build complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team.
• Mentor and grow junior members of the team in building the best of the class solutions on their roadmap items.
• Scan the Data Science landscape for recent developments and opportunities to integrate new methodologies into the existing project portfolio.
• Research best practices, conducting experiments, and working with industry leaders.

Desired Education

• Master’s/ PhD degree (computer science, applied mathematics, applied statistics, data science, or similar).