General Electric Data Scientist in Budapest, France

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.

Role Summary:

The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, they will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

Essential Responsibilities:

As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team, typically involving large, complex data sets. These teams typically include statisticians, data engineers, product managers, architects and end users, working in concert to solve problems or provide solutions leveraging data & analytics. Potential application areas include customer sentiment analysis, commercial growth, inventory reduction and process automation.

Essential Responsibilities:

In this role you will:

  • Develop analytics to address customer needs and opportunities.

  • Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.

  • Perform exploratory and targeted data analyses using descriptive statistics and other methods.

  • Work with data engineers on data quality assessment, data cleansing and data analytics

  • Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.

  • Share and discuss findings with team members. Qualifications/Requirements:

  • Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 1 year analytics development in organizations similar to GE, deploying analytic solutions to address business needs / problems.OR Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics)

  • GE Leadership Program Graduates will get credit towards relevant work experience, commensurate to the program they have completedEligibility Requirements: (Country Specific)

  • Must be willing to travel 20% of the time.

  • Must be willing to work out of an office located in La Defense Paris or in Budapest. Desired Characteristics: Desired Characteristics:

  • Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)

  • Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment

  • Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets

  • Demonstrated skill at data visualization and storytelling for an audience of stakeholdersTechnical Expertise:

  • Demonstrated awareness of data management methods

  • Demonstrated awareness of realtime analytics development and deploymentDomain Knowledge:

  • Demonstrated awareness of industry and technology trends in one or more sectors where GE operates

  • Demonstrated awareness of customer and stakeholder management and business metricsLeadership:

  • Demonstrated skill at function in a team setting

  • Demonstrated awareness of critical thinking and problem solving methods

  • Demonstrated awareness of presentation and influencing skillsPersonal Attributes:

  • Demonstrated awareness of how to succeed in ambiguous circumstances#DTR Locations: France; BudapestGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeocselfprint_poster.pdf . 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.