Required Technical Skills
3+ years of industry experience analyzing data and developing supervised and unsupervised models; including variable selection, feature engineering, model generation, model diagnostics, interpretability, and deployment.
3+ years of experience writing complex SQL queries and working with large datasets in cloud/Hadoop-based environments. Experience writing Hive and Spark jobs.
2+ 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.
3+ 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.
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.
Frontdoor is a company that’s obsessed with taking the hassle out of owning a home. With services powered by people and enabled by technology, it is the parent company of four home service plan brands: American Home Shield, HSA, Landmark and OneGuard, as well as AHS Proconnect , an on-demand membership service for home repairs and maintenance, and Streem, a technology company that enables businesses to serve customers through an enhanced augmented reality, computer vision and machine learning platform. Frontdoor serves more than two million customers across the U.S. through a network of more than 16,000 pre-qualified contractor firms that employ over 45,000 technicians. The company’s customizable home service plans help customers protect and maintain their homes from costly and unexpected breakdowns of essential home systems and appliances. With nearly 50 years of experience, the company responds to over four million service requests annually (or one request every eight seconds).For more details, visit frontdoorhome.com.
Job Category: Information Technology