Senior Data Scientist, Marketing Analytics

3 months ago

Stockholm, Sweden Wolt Full time
Job Description

About the Team

The Marketing Analytics Team at Wolt focuses on solving marketing challenges and is tasked with optimising Wolt’s marketing mix through attribution, MMM, and Experimentation, enabling effective measurement of different marketing initiatives and working with the marketing team to identify areas for improvement and growth across all Wolt countries. Considering the scale of Wolt’s marketing function, there are many exciting problems to be solved and plenty of opportunities to make a business impact.

Data Scientists at Wolt work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organisation. On the Marketing Analytics team we are focused on measuring the effectiveness of our marketing spend and optimising how we acquire and retain users. 

Our team comprises a cross-section of Data Scientists and Analytics Engineers. We work closely with the Data Engineering and Machine Learning teams who help ensure we have the right platform to deliver our insights at scale. We partner with Product, Engineering, and Strategy & Operations teams to guide measurement and tactical decision-making using advanced analytics as we expand the Wolt platform across the globe.

About the Role

As a Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision making. This is a rare, operational and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role.

If you enjoy finding patterns amidst chaos, are excited to build from 0 to 1, and have experience using analytics and data science skills to drive business outcomes, we're looking for someone like you.

You're excited about this opportunity because you will…

  • Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings

  • Provide insights to help business and product leaders understand marketplace dynamics, user behaviours, and long-term trends

  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business

  • Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools

  • Identify and measure levers to help move essential metrics and make recommendations

  • Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering

  • Help our cross-functional teams use various data points to properly size the potential initiatives and opportunities

  • Work backwards from understanding and sizing problems to ideating solutions

  • Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress

  • Act as mentors and guide the team towards actionable outcomes


Qualifications

  • At least 5 years of experience in data analytics, consulting, or related quantitative role

  • The ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

  • The determination to initiate and lead/own strategic projects to completion in a scrappy environment with a cross-functional team

  • Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing

  • Proficiency in at least one programming language, preferably Python and/or R

  • Expertise with SQL queries, Basic ETL, Predictive modelling

  • Proficiency in one or more analytics & visualisation tools (e.g. Looker, Tableau)

  • Clear and concise communication with strong cross-functional partnership experience

  • Drive measurement strategy for the area under scope, defining success metrics, and implementing best practices around experiment design and statistical analysis



Additional Information

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us

The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie.

For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com)

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