Hybrid Data Science Product Manager

at SkyShowtime

• Job title: Data Science Product Manager
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: BigQuery, Cloud, Google Cloud Platform, Python, SQL, Tableau
• Location requirements: Hybrid, Budapest, Hungary

About the role

• Data Science Product Manager responsible for leading development of Data Science roadmap focusing on business value driven Data Products. Collaborate with stakeholders and Data teams to deliver impactful solutions.

Responsibilities

• Manage and develop the roadmap for Data Science solutions, including insights, and data science models.
• Collaborate with stakeholders to identify and prioritise key business needs, understand competing demands, prioritise development on the strategically most important needs.
• Work closely with Data Scientists to develop requirements, set scope of projects, summarise specifications, and track delivery of projects.
• Participate with hands on scripting (SQL) in testing and validation from ideation to launch, to ensure that the analytical product is technically feasible, scalable, and meets stakeholder needs.
• Work closely with the Data team on ensuring data accuracy, and coordinate the Data Science team’s requirements of new data requests.
• Define measurable KPIs to track the success of launched analytical solutions, e.g. does it enable data-driven decision making, does it improve campaign performance, etc.
• Communicate product updates and progress to stakeholders and the team.
• Have an entrepreneurial mindset, take ownership and proactively seek and identify new opportunities where analytics can be applied to support growth and improvement.
• Identify opportunities to improve the team’s processes and workflows and set up best practices in conjunction with the wider Product & Portfolio team.
• Monitor the competitive landscape and industry trends to identify opportunities and stay up to date with the latest technologies and best practices.

Requirements

• Experience in product management and managing product backlogs in a Data Science environment.
• Track record of delivering impact in a fast-paced, data-driven and high-growth business environment and managing multiple priorities.
• Excellent communication and interpersonal skills, with the ability to effectively communicate to both technical and non-technical audience.
• Working knowledge of SQL is essential.
• Technical knowledge and understanding of data science concepts and models.
• Knowledge of Python or other statistical programming language (e.g., R, SAS) is a plus.
• Experience with BigQuery and Google Cloud Platform, and Tableau or other visualisation suites (e.g., PowerBI, Looker) is an advantage.
• Experience in Agile methodologies is a plus.
• You have a pragmatic, flexible attitude, you easily adapt to changes and can deal with ambiguity.
• Must be fluent in English with excellent oral and writing skills. A strong preference for additional European language capabilities.