Manager-Data Science

12 hours ago

Hyderabad, Telangana, India Cognizant Technology Solutions Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Summary

Join our dynamic team as a Data Scientist where you will leverage your extensive experience in Python to drive data-driven decisions and insights. With a hybrid work model and day shifts you will collaborate with cross-functional teams to enhance our data analytics capabilities. Your contributions will play a crucial role in shaping our companys future and making a positive impact on society.

Responsibilities

  • Analyze complex datasets to identify patterns and trends that can inform strategic business decisions.
  • Develop predictive models and algorithms to enhance decision-making processes.
  • Collaborate with stakeholders to understand their data needs and provide actionable insights.
  • Implement data mining techniques to extract valuable information from large datasets.
  • Design and maintain scalable data pipelines to ensure efficient data processing.
  • Utilize Python to develop and deploy machine learning models.
  • Conduct thorough data validation and ensure data integrity across all projects.
  • Communicate findings and recommendations to non-technical stakeholders in a clear and concise manner.
  • Stay updated with the latest advancements in data science and incorporate them into ongoing projects.
  • Work closely with IT teams to ensure seamless integration of data solutions.
  • Provide mentorship and guidance to junior data scientists and analysts.
  • Contribute to the development of data governance policies and best practices.
  • Ensure compliance with data privacy regulations and ethical standards.

Qualifications

  • Possess a strong proficiency in Python for data analysis and model development.
  • Demonstrate experience in building and deploying machine learning models.
  • Have a solid understanding of data mining techniques and statistical analysis.
  • Exhibit excellent communication skills for effective stakeholder engagement.
  • Show a proven track record of working with large datasets and data pipelines.
  • Display a commitment to continuous learning and staying abreast of industry trends.

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