Job Description Summary

We are looking for a seasoned Analytics Engineer to join our team within GE Renewable Energy’s Digital Services business. Using your mastery of data tools and techniques you will create analytics that monitor industrial scale machines that impact our modern lives. You will assist in developing diagnostic and

prognostic algorithms that detect anomalous behavior and prevent failure on machines that power our world.

Job Description

Roles and Responsibilities

In this role you will:

• Share in our mission to unleash limitless clean energy to all corners of our world

• Build lasting solutions that will monitor and surface critical performance metrics for Renewable Energy assets

• Wrangle large datasets from Industrial Internet of Things (IIoT) type machines e.g. Wind Turbines, Solar Arrays, Hydro Plants

• Partner with data scientists, data engineers, reliability engineers, field engineers to design, build, test and deploy data driven solutions to detect (diagnostic) or prevent (prognostic) machine failures

• Employ statistical and anomaly detection methods to optimize the performance and reliability of industrial machines

• Partner with the team to build and own the algorithms and analytics environment, driving data standardization and accessibility

• Use Root Cause Analysis (RCA) and Failure Mode and Effects Analysis (FMEA) methods to diagnose and troubleshoot system failures

• Work with highly motivated individuals like yourself to solve complex and interesting data problems that are impactful to our customers and GE Renewable Energy

• Help drive optimization, testing and tool development to improve the quality in data products

• Mentor junior engineers in the art and science of your craft and field

Required Characteristics

• Bachelor’s degree in science, economics, statistics, computer science, mathematics, or similar quantitative field of study

• Minimum of 5 years of professional experience in a similar data engineering, data analytics or business intelligence role

• Proficient in modern data science tools like Python, Pandas, Scala, Spark, Hadoop, Airflow, Matplotlib, Plotly, Jupyter Notebook or other similar technologies

• Strong understanding of statistics and probability concepts

• Clear communicator who can explain complex concepts in simple and concise terms

• Value collaboration within and across teams

Desired Characteristics

• Possess a curiosity to explore how to use data, cutting edge technology and data science tools and techniques to continually add value to our customers

• Passionate about data quality and delivering actionable information that is impactful to our customers and GE Renewable Energy

• Steadfast in creating code that is understandable, simple, and clean

• Welcome the challenge of wrangling new and interesting datasets from disparate sources (IIOT machines, ERP Systems, application APIs etc.) to deliver insights

• Can bend SQL (or SQL like) to your will to wrestle data away from and negotiate inputs to any database

• Familiar with file format and storage technologies such as Parquet, JSON, CSV, S3, Azure Blobstore, HDFS etc.

• Experience with software development techniques, tools and processes like source control (Git), Functional or Object Oriented Programing, Test Driven Development, Agile Analytics Development, Functional Decomposition of systems, Continuous Integration/Continuous Deployment (CICD)

• Experience with cloud provider tools for data science (AWS, Azure, Google Cloud Platform)

• Can creatively use Business Intelligence or data visualization tools (Tableau, Matplotlib, Plotly etc.) to communicate data driven insights

• Ability to consume and create Web APIs (e.g. ReST, gRPC)

Additional Information