Sr Data Scientist

RESPONSIBILITIES:

• Collaborate extensively with business stakeholders to deeply understand challenges and identify opportunities.
• Own the end-to-end delivery of advanced analytics and machine learning solutions, from problem framing to production deployment and continuous improvement, working within Agile/SAFe ways of working.
• Develop and implement machine learning and statistical models to extract insights, predict trends, and provide actionable recommendations.
• Analyze large and complex datasets to identify opportunities to enhance existing solutions and develop new ones.
• Lead the development of proof-of-concept solutions and ensure their scalability across multiple markets.
• Work closely with cross-functional teams, including data engineers and business experts, to ensure robust, scalable, and production-ready solutions.
• Proactively identify opportunities to improve existing solutions and propose new data-driven initiatives that deliver measurable business value.
• Contribute to building and scaling a high-performing data science team, acting as a technical reference point, driving best practices, and supporting the development of other data scientists.

ARE THESE YOUR SECRET INGREDIENTS?

• 5+ years of hands-on experience in data science or advanced analytics roles, with a strong track record of delivering production-grade solutions
• Strong proficiency in Python and PySpark, with the ability robust, well-structured, and efficient code that balances readability and performance
• Solid understanding of machine learning, statistical modeling, and experimentation, with the ability to apply the right approach to real-world business problems
• Experience working with large-scale datasets and distributed data processing, as well as cloud-based data platforms (preferably Azure & Databricks)
• Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
• Demonstrated ability to build scalable solutions that go beyond one-off analyses or prototypes
• Strong problem-solving skills, with the ability to identify opportunities to enhance existing solutions and propose new data-driven strategies
• Ability to manage multiple projects simultaneously, prioritize effectively, and collaborate effectively with other team members and external vendors
• Ability to balance hands-on technical work with leadership responsibilities, with experience in leading and guiding other data scientists
• Excellent collaboration, communication and presentation skills, with the ability effectively interact and influence stakeholders, translating technical concepts into analytical approaches and business impact
• Experience in CPG, retail, or commercial analytics (e.g. route-to-market, assortment) is a strong advantage
• BSc or MSc, in Computer Science, Data Science, Statistics, Engineering or a related quantitative field