Data Scientist, II

at Zebra Technologies
Published December 19, 2022
Location Bengaluru, India
Category Data Science  
Job Type Full-time  

Description

Job Description

Overview:
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

Responsibilities:

  • Interacts with product and service teams to identify questions and issues for data analysis and experiments
  • Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large data sets from multiple disparate sources
  • Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers
  • Create analytical models with emphasis on predicative and prescriptive analytics
  • Support creation of visual graphics to adequately analyze historical data and display trending
  • Support evaluation of 3rd party analytics algorithms and analytics framework
  • Support Integration of statistical models into Zebra’s platforms, products or services by collaborating with software development team
  • Perform data analysis of customer specific data to help diagnosis customer specific issues
  • Evaluate and make recommendations to evolve data collected to improve analytics
  • Evaluate and define new data to collect for products or services under consideration for development or in development cycle
  • Meet with customers and present data analysis and reports; also gather customer requirements relative to data analytics, data modeling, data visualization

Qualifications:

  • Bachelor’s degree. Advanced degree–masters or PhD-strongly preferred in Statistics, Mathematics, Data / Computer Science or related discipline
  • 2-5 years experience
  • Statistics modeling and algorithms
  • Machine Learning Experience–including deep learning and neural networks, genetics algorithm etc.
  • Working knowledge Big Data–Hadoop, Cassandra,Spark R. Hands-on experience preferred
  • Data Mining
  • Data Visualization and visualization and analysis tools including R
  • Work/Project experience in sensors, IoT, mobile industry highly preferred
  • Excellent verbal and written communication
  • Comfortable with presenting to senior management and CxO level executives
  • Self motivated and self starter with high degree of work ethic