Data Science Manager, Ring CS Operational Excellence

Key Skills

Amazon EMR, Amazon RedShift, Amazon Simple Storage Service (S3), Apache Hadoop, Apache Hive, AWS Glue, Data Engineering, Data Modeling, Design, HBase, Java Programming, Lambda, MATLAB Programming, Python Programming, R Programming, SPARK Programming, SQL

Job Description

Job summary

Data Science Manager role has a huge impact on how customers engage with Ring through providing insights and creating solutions for operations This role requires partnership with operations, program managers, engineers and product team, to deliver a variety of solutions and data feeds used for providing business insights as well as using machine learning solutions.

Key job responsibilities

• Lead a team of data scientists, business intelligence, data engineers, and business analysts
• Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication
• Develop science roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects
• Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management
• Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
• Apply statistical and machine learning knowledge to specific business problems and data

BASIC QUALIFICATIONS

• PhD or Master’s Degree in Statistics, Applied Mathematics, Physics, Science, Engineering, Economics, or other quantitative fields
• 3+ years of direct people management; managing scientists
• 8+ years of experience as a data scientist, economist, applied scientist, research scientist or equivalent data analytics role
• Expertise in as many of the following: hypothesis testing, estimation, experimental design, hypothesis and A/B testing, causal inference, multi-variate testing & design, descriptive analytics, and regression analysis
• Experience with data scripting languages (e.g. SQL, Python, R) or statistical/mathematical software (e.g. R, SAS, or Matlab).
• Familiarity with probability, probability distributions, statistics and causal inference
• Good understanding of applying machine learning to solve real-world problems

PREFERRED QUALIFICATIONS

• Knowledge of data management fundamentals and data storage principles
• Expert level knowledge in statistics; sophisticated user of statistical tools
• Experience processing, filtering, and presenting large quantities (hundreds of millions/billions of rows) of data
• Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations
• Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
• Experience working with AWS big data technologies (EMR, Redshift, S3, AWS Glue, Kinesis and Lambda for Serverless ETL)

About Ring

Since its founding in 2013, Ring has been on a mission to make neighborhoods safer. From the video doorbell, to Ring Alarm, which was named #1 in Customer Satisfaction for DIY Home Security Systems by J.D. Power, Ring’s smart home security product line, as well as the Neighbors app, offer users affordable whole-home and neighborhood security. At Ring, we are committed to making home and neighborhood security accessible and effective for everyone -- while working hard to bring communities together. Ring is an Amazon company. For more information, visit www.ring.com. With Ring, you’re always home.