Senior Data Scientist

GE Healthcare GE Healthcare · Healthcare · Bengaluru, Karnātaka, India · Digital Technology / IT

The Senior Data Scientist will work in teams on commercial technology development projects, focusing on statistical, machine learning, and data understanding problems. Responsibilities include developing analytics, translating algorithms into products, performing data analysis, and collaborating with data engineers on data quality and cleansing.

What you'd actually do

  1. Develop analytics to address customer needs and opportunities.
  2. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
  3. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
  4. Perform exploratory and targeted data analyses using descriptive statistics and other methods.
  5. Work with data engineers on data quality assessment, data cleansing and data analytics

Skills

Required

  • Bachelor's Degree in Computer Science or STEM Majors
  • 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 stakeholders
  • Demonstrated awareness of data management methods
  • Demonstrated awareness of realtime analytics development and deployment
  • Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
  • Demonstrated awareness of customer and stakeholder management and business metrics
  • Demonstrated skill at function in a team setting
  • Demonstrated awareness of critical thinking and problem solving methods
  • Demonstrated awareness of presentation and influencing skills
  • Demonstrated awareness of how to succeed in ambiguous circumstances

Other signals

  • machine learning
  • data understanding
  • applied analytics
  • predictive analytics
  • prescriptive analytics
  • data cleansing
  • data quality assessment