Director Data Science

15 - 18 years

50 - 90 Lacs

Posted:2 days ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

Description

Our company is seeking a highly experienced Director Data Science to lead our team of data scientists and analysts. The ideal candidate will have a proven track record of developing and implementing data-driven solutions in a fast-paced environment. This is a leadership role that requires a strong background in data science, machine learning, and analytics.

Responsibilities

  • Lead and manage a team of data scientists and analysts in the development and implementation of data-driven solutions.
  • Develop and implement data science strategies that support business goals and objectives.
  • Collaborate with cross-functional teams to identify opportunities for data-driven solutions.
  • Provide strategic guidance and direction to the team in the development and execution of data science projects.
  • Develop and maintain strong relationships with stakeholders to ensure alignment and support for data science initiatives.
  • Stay up-to-date with the latest trends and technologies in data science and machine learning.

Skills and Qualifications

  • Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
  • 15-18 years of experience in data science, analytics, and machine learning.
  • Proven track record of developing and implementing data-driven solutions in a fast-paced environment.
  • Strong leadership and management skills, with experience leading and managing teams.
  • Excellent communication and interpersonal skills, with the ability to work collaboratively with cross-functional teams.
  • Strong problem-solving skills and attention to detail.
  • Expertise in programming languages such as Python, R, and SQL.
  • Experience with data visualization tools such as Tableau, Power BI, or QlikView.
  • Experience with big data technologies such as Hadoop, Spark, or Hive.
  • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with agile development methodologies.

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