With us you will:

• Partner with product teams and business leaders to fully understand the problem, and AI & data engineering teams to automate & deploy your models into applications,
• Develop your own insights to steer the algorithmic evolution roadmap in your area of ownership
• Analyze and model on big datasets – e.g. translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations.
• Answer business questions and propose solution for business problems by applying machine learning techniques and algorithms
• Further develop understanding of machine learning, statistics, optimization, GenAI and other advanced analytical models – and how to apply to real world problems
• Further learn what it takes to build and maintain a resilient algorithmic pipeline which passes the test of time, and what it takes for an algorithm to materialize it's impact and value
• Write production grade code applying best practices.

Job Qualifications

• At least a Masters in a quantitative degree (Statistics, Operation Research, Systems Engineering, Computer Science, Applied Math, Economics), or
• Barchelor/Engineer degree with consecutive data science experience
• At least 4-5 years experience with production grade Data Science / algorithmically enabled applications
• Knowledge of Cloud Infrastructure: Microsoft Azure, Google Cloud Platform, Kubernetes
• Solid code writing capabilities - Python and Spark are preferable
• Strong technical & analytical skills (SQL, optimization, simulation, predictive modeling etc)
• Proven success in leadership, problem solving and prioritising
• Strong collaboration skills and working comfortably across teams

Nice to have:

• Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery
• Basic understanding of Business Intelligence Tools such as PowerBI, Tableau
• Experience with Agile DevOps, Github, Jira, Confluence - advantageous

What we offer

• Work in an international Data Science team with global responsibilities (with large part of engineering and product teams located in Warsaw)
• Long-term career with development and growth opportunities
• Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sport cards, in-office fitness center)
• Relevant trainings, certifications, conference participation
• Internal coaching programs & training
• Flexible working arrangements