GE Careers
Apply Now    

Principal Software Architect - Data Science & ML

  • GE Oil & Gas
  • Experienced
  • Posted 2/1/2017 3:16:09 PM
  • 2769875
  • Job Function: Digital Technology
  • Business Segment: Oil & Gas Digital
Location(s): United States ; California; San Ramon


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 Principal Software Architect - Data Science & Machine Learning will be a key member of the Data Analytics and Machine Learning team that will be responsible for curating and analyzing large sets of business and operations data of GE’s customers across several GE Oil and Gas industry verticals. You will lead teams as data science domain expert addressing statistical, machine learning and data understanding problems.

Essential Responsibilities:
As the Principal Software Architect - Data Science & Machine Learning, you will:
  • Work closely with Subject Matter Experts and Business Analysts to rapidly understand the domain and iteratively refine the analyses and models to create high-fidelity automated analytics solutions
  • Participate in data science workouts to shape data science opportunities and identify opportunities to use data science to create customer value
  • Guide cross-functional teams to translate algorithms into commercially viable products and services.
  • Investigate and apply data analytics and machine learning techniques to create data summaries, identify cause-effect analysis across disparate data sources, and create high-fidelity prediction models for various business KPIs.
  • Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics and prescriptive analytics.
  • Guide cross-functional teams to translate algorithms into commercially viable products and services.
  • Architect and design Self learning systems that can predict failures and optimization techniques based on information learned from previous failures and optimizations.
  • Work with the engineering team to incorporate your analyses and solutions, including working with the visualization team to create intuitive UI and rich UX stories. Partner with data engineers on data quality assessment, data cleansing and data analytics efforts
  • Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms for solutions in scalable, product-ready code.
  • Initiate and propose unique and promising modeling projects, develop new and innovative algorithms and technologies, pursuing patents where appropriate
  • Stay current on published state-of-the-art algorithms and competing technologies.
  • Contribute to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses.
  • Lead the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support activities to for multiple teams or complex scenarios.
  • Provide leadership, technology guidance and mentors others throughout the domain.


Qualifications/Requirements:
Basic Qualifications:
  • PHD/MS Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)
  • A minimum of 15 years of technical experience along with established leadership credentials across product lines.
  • With a minimum of 5yrs as a Data Scientist.


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
  • Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen
  • Must be willing to work out of an office located in San Ramon, CA
  • Must be willing to travel roughly 30% of the time


Desired Characteristics:
Technical Expertise:
  • Proven experience in statistical learning techniques including Support Vector Machines; Regularization Techniques; Boosting, Random Forests, and other Ensemble Methods
  • Strong implementation experience with high-level languages and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm, SAS and MATLAB.
  • Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data
  • Experience with end-to-end modeling projects, from research to solutions to analytic products
  • Proven experience in using well-established supervised and unsupervised machine learning methods for large industry-strength data analysis problems.
  • Participates in enterprise strategy development, including environmental analysis, opportunity identification, value cases and business innovation portfolio development. Reviews and/or analyzes and develops architectural requirements at domain level, aligning architectural requirements with software development strategy.
  • Leads and facilitates the domain’s architecture governance process based on EA’s governance structure.
  • Leads teams in developing plans and assessing improvement options.


Business Acumen:
  • Create, analyze and manage projects that provide direct business benefit; demonstrate detailed knowledge of business operations and strategic direction, including merger & acquisition opportunities
  • Understand industry trends and competitive landscape and the implications for your GE business
  • Partner with business leaders to align projects with business goals and needs.

Leadership:
  • Recommends allocation of budget to meet architectural initiatives critical to business/mission success.
  • Develops the business case for approval.
  • Provides leadership, technology guidance and mentors others throughout their domain.
  • Define the skills, competencies in the skills and talents for architecture team members.
  • Facilitates dialogues that produce new perspectives and trigger recommendations for substantial innovative / enhancements, and analysis of consequences.
  • Influences through others.
  • Uses experts or other third parties to influence.
  • Builds direct and "behind the scenes" support for ideas, uses chains of indirect influence.

Personal Attributes:
  • Participates with senior business leaders and subject matter authorities in defining strategies and courses of action that will impact the enterprise.
  • Challenges conventional thinking and traditional ways of operating and invites stakeholders to identify issues and opportunities.
  • Takes a holistic systems perspective.
  • Envisions, compares and contrasts multiple potential long-range enterprise-wide futures.
  • Empathizes with multiple points of view

#DTR


Locations: United States ; California; San Ramon

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.
Apply Now    

GE Careers Technical Assistance

Having technical issues with ge.com/careers or your application? We're here to help.

Get In Touch

Connect With Us

Stay up to date on GE and possible opportunities that open in areas that interest you.

Sign Up