Position Data Scientist / Sr. Data Scientist
Location  Bengaluru, KAR, INDIA


Qualification: Bachelor’s degree in Mathematics, Statistics, Computer Science or a related discipline

Experience: 7 plus years with 3-5 years of experience in statistical analysis or data science.

Skills: Python, R, PHP, Hadoop/Big data, Data Science/Data Analytics, Mathematics, Statistics, Algorithms and probability engines

  • Experience manipulating large datasets and using databases with experience in general purpose programming language such as Hadoop.
  • Ability to develop solutions to loosely defined business or research problems by leveraging pattern detection over large data sets.
  • Experience using machine learning algorithms.
  • Strong interpersonal skills with the ability to communicate with technical and non-technical internal and stakeholders.
  • Ability to organize, analyze and correlate data information.


Role & Responsibilities:

  • Construct advanced predictive models, algorithms and probability engines to support data analysis or product functions; verify model and algorithm effectiveness based on real-world results.
  • Design experiments and methodologies to generate and collect data for business use.
  • Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as sensors, open data, and social media feeds.
  • Design experiments, test hypotheses, and build models to explore complex business and safety science systems.
  • Conduct data analyses using traditional and complex statistical methods. Design algorithms and implements software to perform analyses.
  • Aggregate, transform and integrate multiple data sets to test hypothesis, model complex systems and identify patterns. Prepare and analyze program/model output to allow for efficient data analysis.
  • Transform complex data and results into creative graphs, tables, charts and other graphics to present and/or share the data in a compelling and concise manner.
  • Write methodology, analysis and data insights for research papers, proposals and presentations. Synthesize all aspects of a data science project to lead non-technical audiences through the goals, methods and implications of the project.
  • Work with business leaders and researchers to suggest other projects and initiatives that will advance the organizations goals.