Data Science Manager

Overview:

Key Responsibilities:

• Lead and manage a team of data scientists and analysts.
• Develop and implement datadriven solutions and models to address business challenges.
• Utilize machine learning techniques and statistical methods to analyze and interpret data.
• Collaborate with crossfunctional teams to identify opportunities for leveraging company data to drive business solutions.
• Oversee the design and development of data visualizations and reports to communicate insights to stakeholders.
• Ensure the accuracy and reliability of data analysis and reporting.
• Develop and maintain data science best practices tools and documentation.
• Provide guidance and mentorship to team members fostering their professional growth and skill development.
• Stay updated on the latest trends and advancements in data science and related technologies.
• Participate in strategic planning and contribute to the development of data science roadmap.

Required Qualifications:

• Masters or Ph.D. in a quantitative field such as Statistics Mathematics Computer Science or related field.
• Proven experience in leading and managing a team of data scientists and analysts.
• Proficient in Python R or other programming languages commonly used in data science.
• Expertise in machine learning predictive modeling and statistical analysis.
• Strong knowledge of data visualization tools and techniques.
• Handson experience with big data technologies and platforms.
• Excellent communication and presentation skills for effectively conveying complex findings to nontechnical stakeholders.
• Ability to thrive in a fastpaced dynamic environment and handle multiple projects simultaneously.
• Solid understanding of database systems and SQL.
• Track record of successfully delivering data science projects that drive business impact.
• Experience in strategic planning and roadmap development for data science initiatives.
• Strong leadership and mentorship abilities with a focus on fostering a collaborative and innovative team culture.

python,machine learning,data visualization,team management,statistical analysis,data science,artificial intelligence