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Staff Analytics Engineer

  • GE Renewable Energy
  • Experienced
  • Posted 5/8/2017 3:31:15 PM
  • 2874337
  • Job Function: Digital Technology
  • Business Segment: Renewable Energy Digital
Location(s): United States; New York, South Carolina; Schenectady, Greenville


About Us:
GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Summary:
The Staff Analytics Engineer will be responsible for delivering new, commercially re-usable analytics solutions (Analytic Blueprint Packages) to drive growth in asset, application and industry coverage supportable product support teams (Software As A Service model). You will leverage standard suite of platform and core module analytics & algorithms, software application capabilities, strong engineering & analytics backgrounds.

Essential Responsibilities:
You will engage key technical & subject matter experts (SMEs) across the business for knowledge capture into the solutions. You will also provide core product requirements to Product Management, Software Engineering and UX Design teams. You will mentor other engineers in analytics development process and methods.

As a Staff Analytics Engineer, for GE Digital’s Asset Performance Management (APM) Product line, you must have a good understanding of basic industrial equipment – reliability and failure causes, the ability to quickly understand the key operational characteristics of new equipment, interview domain experts for failure mode knowledge, and assess how possible failure models will affect measured parameters and key performance indicators (KPIs). An Analytic Blueprint Package is a complete configuration template for a class or type of equipment; includes the Sematic Data Model, Equipment Tag Model, Component Groupings, Failure Indication Logic and relation parameter configuration applied to Physics Based, Mathematical or Statistics based, or Machine Learning (Non-Parametric Regression Techniques such as Similarity Based Modeling, Principal Component Analysis, Kernel Regression, Support Vector Machines etc.; Decisions Trees and other such) analytics techniques common used for Industrial Analytics) as well as the orchestration logic of one or more of these techniques.
  • Work on a team of Analytics Engineers and Data Scientists who analyze equipment operation and failure modes to detect the failures through the analysis of process environment, equipment operation and real-time sensor data.
  • Apply a structured process to design and build new analytic blueprint packages. Review technical documents like Piping & Instrumentation Diagrams.
  • Create of derivative analytics for variants of known equipment, incorporation of field feedback to improve the performance and actionability of the analytics, maintaining the Analytic blueprint library and catalogue.
  • Write Analytics Functional Documentation for the Field Services teams, gather end-user and customer requirements and support product engineering in development of new generations of GE Digital’s software solutions
  • Develop a trusted advocate relationship with internal and external customer constituents. Serve as the communications hub and "source of truth" for applications of the analytics in the field. Ensure that all teams have correct and timely information they need in order to ensure successful delivery of analytics to customers.
  • Provide supporting technical materials, education and in person expertise during commercial cycles, partner and cross-business collaboration. Evangelize the portfolio capabilities by presenting to customers (internal and external) and user groups where applicable.
  • Drive repeatability in solution component architectures. Foster an environment that encourages innovation, creative risk taking, speed and agility designing and managing Analytic Blueprint Packages.

    Qualifications/Requirements:

    Basic Qualifications

  • Bachelor’s Degree in data science, electrical, computer, mechanical, aerospace, or industrial engineering from an accredited university or college.
  • Minimum of 4 years of professional technical experience.

    Eligibility Requirements

  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job

    Desired Characteristics:
  • Master’s Degree in data science, mechanical or electrical engineering from an accredited College or University or equivalent.
  • Strong technical analysis skills (ability to understand physics based models and perform data analysis).
  • Software development background (Java, Python, JavaScript).
  • Basic understanding of Python and Matlab languages.
  • Strong communication and leadership skills.
  • Ability to efficiently plan and coordinate tasks between multiple groups.
  • Strong quality awareness and ability to identify future failures, defects and problems.
  • Ability to work with multicultural teams, strong team player.
  • Ability to work within structured work methods.
  • High flexibility and motivation.
  • Strong knowledge of SQL and retrieving data from relational database systems.
  • Previous experience working with large data sets using big data technologies including Greenplum or other MPP database systems.
  • Previous experience with advanced SQL programming including DML and DDL.
  • Ability to work effectively in a matrix environment.
  • Superior analytical skills, with strong desire to improve processes and performance.
  • Strong presentation skills.
  • Distinctive ability to analyze technical processes.
  • Strong communication and project leadership skills with ability to clearly communicate issues and resolution to both a technical and non-technical audience.

    Technical Expertise:

  • Demonstrated ability to work within a small, collaborative project team
  • Attention to detail with a willingness to follow a rigorous quality process.
  • Strong oral and written communication skills.
  • Aptitude for the use of complex software applications, abstract concepts, use of data.
  • Understanding of industrial equipment and process operations, especially in the areas of maintenance and process control.
  • Multiple years of Experience designing analytics utilizing non-parametric Machine Learning algorithms or heuristics.
  • Strong organizational and project management skills.
  • Strong analytical and problem resolution skills.
  • Clear understanding of Systems Development Life Cycle (SDLC) methodology and respective experience with its application in design and development phases.
  • Proven experience designing, deploying or operating applications / infrastructure in a public or private cloud environment.
  • Knowledge and experience using Analytics Software Packages like Matlab, SAS, JMPro etc. Programming experience with open source scripting and data analysis packages like Python, R is a plus.

    Business Acumen:

  • Strong Customer mindset and ability to understand commercial and product strategy.
  • Bridging between Research and Solution design.
  • Demonstrates awareness of important current trends (economic, political, environmental, regulatory, etc.) affecting the industries that GE Digital operates in.
  • Experience working effectively on multiple outcome-focused commercial solutions simultaneously.
  • Ability to synthesize broad-based user requirements into a unified plan to meet key business objectives.

    Leadership:

  • Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analytics skills and best practices by actively incorporating input from various sources.
  • Strong analytical and strong problem solving skills - effectively evaluates information/data to make decisions; anticipates obstacles and develops plans to resolve.
  • Continuous improvement oriented – actively generates process improvements; champions and drives change initiatives.

    Personal Attributes:

  • Emotional Intelligence, ability to influence up and out and the ability to work independently
  • Must be a team player with a strong desire to win.
  • Highly organized and efficient; able to balance competing priorities and execute accordingly.
  • Strong oral and written communication skills.

    #DTR

    Locations: United States; New York, South Carolina; Schenectady, Greenville

    GE offers a great work environment, professional development, challenging careers, and competitive compensation.  GE is an Equal Opportunity Employer.  Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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