Product Manager Data Science - Wollerau, Schweiz - Vorwerk SE & Co. KG

Beschreibung

• Vorwerk International & Co. KmG belongs to the German familyowned company Vorwerk that has been operating in Wuppertal for 140 years. From the strategic head offices in Wollerau SZ, the Kobold and Thermomix divisions are managed.
• We are an international company offering to our employees and sales advisors a wide variety of prospects. The successful direct sales concept, fascinating wellknown brands as well as longterm perspectives form perfect conditions for dedicated people to take the opportunity to actively shape their future with us.
• Join a small and passionate Data Business team that believes that data can transform and elevate our business. Further we believe that strategically used data products, be it a dataenhanced product or data as an insight, will provide Vorwerk with a longlasting business advantage. Together with your peers that work in Data Engineering and Data Science fields, you will be creating a tangible impact on the evolution of our platform by implementing innovative features, enhancing existing functionality, and scaling our technology to new heights. We thrive on a combination of highlevel thinking and a strong work ethic that gets things done. We value pragmatism and a handson approach, which means you'll have the freedom to take ownership of projects and make a meaningful impact from day one.
• If you are passionate about pushing boundaries, embracing challenges, and working collaboratively in a fastpaced environment, this is the perfect opportunity for you

• Strategy_
• Frame and maintain a strategy for data flows (from generation/ingestion to processing and provisioning) from/to data products.
• Identify opportunities to increase user engagement and habit formation through indepth data analytics.
• Work towards a truly personalized user experience together with UX and development teams to provide real value for customers.
• Support Sales Entities and advisors to use full sales potential and enable upselling with advanced analytics.
• Research and Discovery_
• Oversee proofofconcepts of data products to validate feasibility, customer value hypothesis validation, and solution approaches.
• Together with stakeholders define quality and success criteria balancing best customer satisfaction and business value.
• Implementation_
• Initiate implementation of data products by setting up project teams and assigning them a budget.
• Constantly monitor project status and progress, especially assuring that defined success criteria are met.
• Continuous Evaluation_
• Empirically validate the customer and business impact of data products and digital services in general using experimental and quasiexperimental techniques.
• Negotiate SLAs and data product operation objectives with Digital R&D or thirdparty suppliers.

• Oversee initiatives in advanced analytics and assure close match with business requirements to facilitate data driven decision making.
• Build, maintain a strategic roadmap of advanced analytics capabilities and implement it together with the team as well as internal and external partners.

• Act as an interface/ build the bridge between business and IT.
• Evangelize a data and evidence driven work culture to improve business decisions and processes.
• Proactively help to make datadriven decisions and recommendations for digital solutions.
• Consult Vorwerk units on data strategies and matching the right ML/AI techniques to use cases.

• Successfully completed Doctorate or Master's degree in statistics, biostatistics, physics, engineering, psychology, economics or equivalent disciplines with a strong focus on data analysis methods.
• Preferably 3+ years of experience in data analysis and modeling of human behavior.
• Previous experience in project management (SAFe, PRINCE2 Agile) and budget responsibility.
• Fluency in Python, and proficiency in additional languages such as R, SQL, or others would be advantageous.
• Strong analytical skills and knowledge in the area of machine learning strategies.
• Familiarity with systematic data discovery methodologies (e.g., CRISP-DM, CRISP-ML).
• Entrepreneurial thinking, agile mindset, and strong team player.
• General management knowledge, skills and experience.
• Software requirements elicitation and management knowledge (using IREB or Scrum Product Owner).
• Ability to translate marketing, sales and UX questions into actionable data product strategies.
• Experienced in project setups, evaluation of suppliers, screening and briefing of key resources, and strong digital technology skills.