Data Scientist, II

IN-Bangalore
Job ID
41017
Function
Operations

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

Essential Duties and 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 datasets 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

Job Requirements

Preferred Education:

Bachelor’s degree. Advanced degree – masters or PhD - strongly preferred in Statistics, Mathematics, Data / Computer Science or related discipline.

Preferred Work Experience (years):

2-5 years

Key Skills and Competencies:

·         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

 

 

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