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This is why you should join us! At Mathem we’re all about convenience. To excel the customer experience even further, we’re now looking for two Principle/Senior Product Data Scientists. Here you’ll be a key player in leading one of Mathem’s product domains and use data to take us to the next step in creating the market’s most personalized, seamless shopping experience.
We’re highly ambitious when it comes to product development and always strive to be at the forefront of technology and encourage innovation highly. As the market leaders in online groceries, we’re far from satisfied and always looking for new ways to innovate and improve our product offering. We are agile and data-driven. Mathem is in a phase where you can make a real impact on our way forward and develop both your skillset and career. In the end, your work leads to cool products that make people’s lives easier!
What you’ll do As our Product Data Scientist Lead, you’ll drive one of our product data science domains and strategies within a certain area. Some of our domains are new to us and to the market in general, which makes our work exploratory with great freedom to choose the direction according to your expertise - impacting our product offering. We believe you will be the person breaking ground for us and the market within this product data science domain!
We’re in a phase of implementing more automation and machine learning within our product data science domain, and you’ll get the opportunity to lead this journey. You’ll work in close collaboration with Mathem’s agile cross-functional teams to define use cases and train Machine learning models - enabling us to further tailor the customer experience based on our users' behaviour and preferences - making tomorrow’s shopping experience personalized and more convenient for everyone.
We’re excited to be working with Google’s suite of world-class data products, such as BigQuery for data warehouse, Google Optimize for A/B-testing, Firebase Analytics for our mobile native apps, etc.
More in detail, the responsibilities include:
Work strategically across different product areas to help form a holistic, data-driven, product strategy together with the other product leads within that specific area.
Own end-to-end analytics for your area, from designing models (retention, segments, cohorts, etc.) to planning, creating, and running A/B tests on large datasets to identify user trends, extract insights and improve the customer experience
Work hands-on with our product teams and other stakeholders within the organization to enable and promote more accurate, data-driven decisions and provide clarity on how each team is contributing
Work with engineers to understand how we collect data and what we need to do to produce reliable product data, e.g. what instrumentation we need.
Present actionable business recommendations based on insights and design impactful visualizations to track and highlight progress
Who we’re looking for:
Bachelor's degree and/or MSc in a quantitative discipline (such as math, statistics, engineering, ML, etc) or equivalent experience
5+ years of Data Science experience from a technology company
Proficient in data science languages such as SQL, Python and/or R.
Strong analytical and statistical analysis skills
Experience or theoretical interest in Machine Learning
You’re comfortable with ambiguity, can tackle loosely defined problems, and come up with relevant answers and actionable insights