As the Data Science Product Manager, you will be responsible for defining the vision, strategy, and roadmap for data science products and features. You will work closely with cross-functional teams including data scientists, engineers, designers, and business stakeholders to deliver cutting-edge solutions that address customer needs and drive business growth.

Key Responsibilities:

• Define and prioritize the product backlog based on customer needs, market trends, and business goals.

• Collaborate with stakeholders to gather requirements, define success metrics, and validate product hypotheses.

• Translate business requirements into technical specifications and user stories, working closely with data scientists and engineers.

• Lead the development process, including sprint planning, backlog grooming, and sprint reviews.

• Monitor and analyze product performance metrics, user feedback, and model performance to drive continuous improvement.

• Stay abreast of advancements in data science techniques, tools, and technologies, and identify opportunities to integrate them into products.

• Champion a culture of data-driven decision-making and experimentation within the organization.

Requirements:

• Proven experience (5 years) as a Product Owner or Product Manager, with a focus on data science products or projects.

• Strong understanding of data science principles, machine learning techniques, and statistical modeling.

• Experience working with Agile/Scrum methodologies and tools (e.g., Jira, Confluence).

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.

• Strong analytical and problem-solving skills, with a passion for driving insights from data.

• Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.

Preferred Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field. Advanced degree preferred.

• Hands-on experience with data science tools and libraries (e.g., SQL, Python, TensorFlow, scikit-learn).

• Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform).

• Certification in Agile Product Management (e.g., Certified Scrum Product Owner).