GE Careers
Apply Now    

Principal Data Scientist

  • GE Corporate
  • Experienced
  • Posted 1/22/2017 3:57:02 PM
  • 2730105
  • Job Function: Business Development
  • Business Segment: Corporate Business Innovations
Location(s): United States ; Massachusetts; Boston


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 Data Scientist 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 industry verticals.

Essential Responsibilities:
This role will be responsible for analyzing the data and creating descriptive and predictive feature models. They will also very closely work 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.
  • Work closely with Subject Matter Experts to gain deep understanding of various business and operations related data sets
  • Participate in data science workouts to shape data science opportunities and identify opportunities to use data science to create customer value
  • Guide junior members to develop, verify, and validate analytics to address customer needs and opportunities.
  • 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.
  • 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
  • Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
  • Communicate methods, findings and hypotheses with stakeholders.


Qualifications/Requirements:
Basic Qualifications:
  • M.S. in a “STEM” major (Science, Technology, Engineering, Mathematics)
  • Minimum 10 years of industry work 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:
  • Experience with analytics development for industrial applications in a commercial/industrial setting
  • Hands-on experience in doing data analytics for large and varied data sets, including time-series sensor stream data.
  • Proven experience in using well-established supervised and unsupervised machine learning methods for large industry-strength data analysis problems.
  • Full awareness of industry best practices for data quality assessment and transformations, feature engineering, and model fit evaluations.
  • Demonstrated expertise in one or more development tools and languages (e.g., SciPy, Python)
  • System Engineering and API based integration experience for large production systems
  • Experience in Prior experience with frameworks and language such as Apache Spark, Apache Storm, Scala, R, SAS, and MATLAB.
  • Demonstrated expertise in translating customer need into data and analytics requirements
Technical Expertise:
  • Demonstrated skill in data management methods and analytic scaling
  • Demonstrated skill in solutions integration
  • Knowledge of Business Intelligence tools such as QlikView, Sisense, Looker, Pentaho, Microstrategy, or Tableau
    Domain
Knowledge:
  • Demonstrated expertise in delivering professional services Demonstrated and externally recognized expertise in data science technology and industry trends
Leadership:
  • Demonstrated expertise in technical and/or business consulting
  • Demonstrated expertise in critical thinking and problem solving methods
  • Demonstrated expertise in influencing, presentation and communications skills

#DTR



Locations: United States ; Massachusetts; Boston

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