Data Scientist II

3 - 7 years

8 - 12 Lacs

Posted:20 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

As a Data Scientist II here at Honeywe'll, you will be responsible for developing and implementing advanced analytics models and algorithms to solve complex business problems. You will collaborate with cross-functional teams to understand business needs and formulate data-driven solutions, ensuring the delivery of high-quality, actionable insights to support business decision-making.
In this role, you will impact the business by leveraging cutting-edge technologies and advanced analytics to optimize processes, reduce costs, and identify growth opportunities. Your work will position Honeywe'll at the forefront of data-driven innovation, turning data into actionable intelligence that propels the business forward.

YOU MUST HAVE

  • 2+ years of experience within data analysis, statistical modeling, or another related field
  • Proven experience in developing and implementing advanced analytics models and algorithms
  • Strong project management and organizational abilities
WE VALUE
  • bachelors degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline
  • Experience in leading and ownership of complex data projects
  • Proficiency in programming languages such as Python or R
  • Strategic thinking and the ability to align data science initiatives with business objectives
Key Responsibilities
  • Apply expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions
  • Manage endtoend data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights
  • Provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture
  • Contribute to the strategic vision of the Data Science team, providing input on initiatives that align with business objectives
  • Apply strong analytical and problemsolving skills to address complex data challenges and generate valuable insights

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