Job Description

Job Description

Job Description

Job Title: Data Science Manager

Job Summary: The Data Science Manager will lead a team of data scientists in developing and implementing advanced analytical models and machine learning solutions to drive business insights and strategic decisions. This role involves managing data science projects, overseeing model development and deployment, and collaborating with stakeholders to ensure data-driven solutions align with organizational goals.

Responsibilities:

• Lead and manage the data science team, including recruitment, training, performance management, and professional development.
• Develop and execute data science strategies and projects that support business objectives and drive actionable insights.
• Oversee the development, implementation, and maintenance of predictive models, machine learning algorithms, and advanced analytics solutions.
• Collaborate with cross-functional teams and stakeholders to understand business needs and translate them into data science projects and solutions.
• Ensure the accuracy, reliability, and scalability of data science models and solutions.
• Develop and communicate data-driven insights and recommendations through reports, dashboards, and presentations to senior leadership and other stakeholders.
• Monitor and evaluate the performance of data science models and solutions, making adjustments as needed to improve accuracy and effectiveness.
• Stay up-to-date with industry trends, emerging technologies, and best practices in data science and machine learning.
• Implement and enforce best practices for data management, data governance, and model validation.
• Manage data science-related budgets and resources effectively.

Qualifications:

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master's degree or higher preferred.
• Minimum of 7-10 years of experience in data science, machine learning, or a related field, with at least 3-5 years in a managerial or leadership role.
• Strong proficiency in data science tools and programming languages (e.g., Python, R, SQL).
• Extensive experience with machine learning algorithms, statistical analysis, and data modeling.
• Proven track record of managing and leading data science projects from conception to deployment.
• Excellent problem-solving skills, with the ability to translate complex data into actionable business insights.
• Strong communication and presentation skills, with experience in conveying technical concepts to non-technical stakeholders.
• Demonstrated leadership and team management abilities, including experience in mentoring and developing team members.
• Experience with data management, data governance, and best practices for model validation and performance monitoring.
• Ability to manage multiple high-priority projects and deliver results in a fast-paced environment.

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