Director Data Science

Axtria India Private LimitedGurgaon, Haryana
Adzuna INPosted 37m agoOriginal Listing
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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. Skills: Machine Learning, Data Visualization, Deep Learning, Nlp, Sql, Statistics, Big Data, Data Mining, Python, Hadoop Experience: 15.00-18.00 Years

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