As a Product Data Scientist youll work as part of a crossfunctional team alongside product managers designers and software and analytics engineers using data and your expertise to influence and drive the strategy of our products. Youll help define how we measure the success of our products collaborate with engineers on how we collect data design and help build reports/dashboards and run analyses to find product improvement opportunities. Youll be a coowner of a product driving it to success in partnership with other crossfunctional team members.
Youll also be part of the broader data function a team of Data Engineers Analytics Engineers Data Scientists and Data Product Managers.
Were a new but highly visible function within so this is an exciting opportunity to drive a positive impact.
How youll make an impact:
Youll be responsible for analytics of a product domain. Youll define measure and present metrics deliver actionable insights
Contribute product roadmaps through databased recommendations and continuously define highimpact areas for improvement.
Working closely with Data Analytics Engineers and Software Engineers to make sure we collect and model the right data to produce relevant business insights
Foster data culture across products and technology by actively sharing insights and ideas and building positive relationships with colleagues
Build experiments and analysis frameworks to quantify the ROI of product development.
Lead by example your team and the broader data community to apply best practices in analytics from data collection to analysis.
Qualifications :
- At least 3 years in a Product Analytics related role
Strong communicator youre able to explain complex technical topics to nontechnical team members
Experience conducting experiments building measurement frameworks and validating the results with relevant quantitative methods
Strong analytical mind and demonstrable experience in converting ambiguous problems into structured and datainformed solutions
Excellent data interrogation skills with SQL
Knowledge of applied statistics (e.g. hypothesis testing regression)
Additional Information :
Apply without meeting all requirements statement
If you dont meet all the requirements but think you might still be right for the role please apply anyway. Were always keen to speak to people who connect with our mission and values.
Hybrid Working Model:All of our offices globally are onsite 3 times per week (Tuesday Wednesday and Thursday). Weve worked towards enabling teams to work collaboratively in the same space while also being able to partner with colleagues globally. During your days at the office we offer amazing snacks breakfast and lunch options in all of our locations.
We believe in equal opportunities
We work as one team. Wherever you come from. However you identify. And whichever payment method you use.
Our clients come from all over the world and so do we. Hiring hardworking people and giving them a community to thrive in is critical to our success.
When you join our team well empower you to unlock your potential so you can do your best work. Wed love to hear how you think you could make a difference here with us.
We want to set you up for success and make our process as accessible as possible. So let us know in your application or tell your recruiter directly if you need anything to make your experience or working environment more comfortable. Well be happy to support you.
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