Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.
Data and Analytics Manager defining strategies for a digital transportation company connecting freight and truckers in Brazil. Leading initiatives to maximize data value and promote a culture of data - driven decision - making.
Mid - Level Data Scientist leveraging data science techniques for USAA's financial security solutions. Collaborating with various teams to develop advanced analytics and model deployment practices.