Lead Data Scientist

Company:
Location: Bengaluru, Karnataka

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Job Description Summary
As a member of the BD Advanced Analytics team, the Data Scientist role will collect, interpret, and deploy predictive analytics and machine learning models to assist our business partners in delivering advanced data analytics solutions to address key strategic business initiatives. The primary focus being the development and deployment of actionable insights that have a positive impact on BD's business operations.Job Description

Job Description:
  • Evaluating business requirements and developing compelling user stories in collaboration with business stakeholders across various functions and regions
  • Collecting, interpreting, preparing and modelling data to provide actionable insights
  • Prototyping advanced data analytics solutions for presentation to business partners and stakeholders
  • Applying predictive analytics and machine learning methods and techniques appropriately to address business requirements
  • Provide expertise to guide business stakeholders in identifying opportunities for the use of BD's data assets for the purpose of advanced data analytics
  • Work closely with data engineering and DataOps peers to productionalize advanced data analytics use cases

Qualifications
  • Master's degree in STEM field or equivalent demonstrated work experience
  • Experience with Python, R, Hadoop, HIVE, SPARK, Jupyter and related advanced analytics / machine learning libraries (Scikitlearn, Tensorflow, Keras, …)
  • Minimum 2 years of relevant work experience
  • Ability to translate complex solutions to a non-technical audience (storytelling & visualization)
  • Expertise in machine learning, neural networks, clustering, classification, regression and other common advanced analytics methods and techniques
  • Mature competency for critical thinking, problem solving, working with ambiguity, communications and collaboration

Preferred
  • Experience with technologies related to data preparation, processing & optimization (e.g. Azure, HQL, SPARK SQL)
  • Experience with data visualization tools (Power BI)
  • Flexibility to accommodate meetings with international stakeholders in their respective time-zone

2.00-5.00 Years

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