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Data Scientist

Data Scientist

  • Location India - Maharashtra - Pune
  • Travel required Yes - up to 10%
  • Job category IT&S Group
  • Relocation available Yes - Domestic (In country) only
  • Job type Professionals
  • Job code 134482BR
  • Experience level Intermediate
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Job summary


Data Scientist will be part of a cross-disciplinary team, working closely with other data scientists, software engineers, data engineers, data managers, product owners and Portfolio managers.

Key Accountabilities:-

  • Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
  • Carry out data analyses to yield actionable business insights.
  • Working alongside senior data professionals to analyse large, complex data sets.
  • Work with clients to understand their requirements and carry out analytical projects.
  • Use Python to create predictive models to provide insights on customer data.
  • Work to ensure the data pipeline in clean and reporting is correct.
  • Translate problem statement to data architecture
  • Seek / promote automated pipelines / jobs
  • Communicate complex ideas in a digestible way to the business
  • Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
Desirable Criteria:
  • Bachelor or master’s degree in computer science, Engineering, Informatics, Information Systems or in another quantitative fields
  • Specialization in Machine Learning or Data Science will be an advantage
  • 5 to 6 years with minimum of 2 to3 years relevant experience
  • Deep applied knowledge of data science tools and approaches across all data lifecycle stages.
  • Detailed understanding of underlying mathematical foundations of statistics and machine learning.
  • Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
  • Excellent SQL knowledge.
  • Experience with big data technologies (e.g. Hadoop, Hive, and Spark).
  • Knowledge of experimental design and analysis.
  • Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
  • Strong stakeholder management and ability to influence.
  • Continuous learning and improvement mindset.

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