(Senior) Data Scientist (Analytics), Merchant

Job title:

(Senior) Data Scientist (Analytics), Merchant

Company

Wolt

Job description

Company DescriptionWolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt is not just a delivery app – we’re a technology company building a commerce platform to seamlessly connect our millions of customers with thousands of merchant and courier partners, in real-time across 23 countries and 250+ cities. Our apps (iOS and Android) have the industry’s highest ratings, largely thanks to our customer-first-mindset, which shows in how we build products and run operations. In June 2022 we officially joined forces with DoorDash. Combined, we have a presence in 27 countries, 23 of which operate with the Wolt brand and app. Wolt and DoorDash continue largely independently, with Wolt’s name, brand, product, technology and team.Working in Product Development at WoltAt Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.The behind the scenes of Wolt is run by an awesome bunch of over 400+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 40 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way.Our Commitment to Diversity, Equity & InclusionWe want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.Join us today to build Wolt together!#LI-ZF1Job DescriptionAbout Merchant Group at WoltWolt as a platform focuses on serving three main groups: customers, couriers, and merchants. In a nutshell, the Merchant Group strives to make Wolt an integral part of our Merchant’s daily business. Their core mission is to provide merchants with self-service tools and automation that are useful, efficient, reliable, and delightful to use.About the Merchant Analytics TeamMerchant Analytics is an embedded analytics function within the Merchant Group. The team works to unlock insights related to the marketplace and turn them into actionable recommendations that drive the success of merchants at Wolt. While keeping merchants at heart, the analytics team focuses on all kinds of analytics projects that can benefit merchants while ensuring a seamless consumer experience and also supporting Wolt’s marketplace strategy.About the RoleAs 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.Our offering to you

• The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics.

• You can choose the location from our tech hubs Helsinki, and Stockholm, or you can work entirely remotely anywhere in Finland, Germany, Sweden and Estonia. You have the chance to decide the ways of working — a hybrid, at the office, or remote within the location above. Read more about our .

• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Read more about

Qualifications

• Degree in Mathematics, Statistics, Computer Science, or a related field, or equivalent work experience.

• 4-5+ years of experience in an analytics or data science position within an industry or research setting.

• Expertise in statistical analysis, including hypothesis testing, experimentation and causal inference using statistical software packages in Python, R, or equivalent.

• Proficiency in writing structured and efficient SQL queries for large data sets.

• Have prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar.

• Relentless pursuit of new ideas and data sources, and have the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach.

Additional InformationThe 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)Please note that we might have delays due to the festive season.

Expected salary

Location

Helsinki

Job date

Thu, 05 Dec 2024 23:31:30 GMT

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