• Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators • Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions including data visualization, statistical analysis, machine learning, and data mining • Organizes and automates project steps for data preparation and analysis • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources

Role Description The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants. To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally. What you'll be doing - Developing and deploying production-level ML models - Crafting metrics to unlock deeper insights into merchant selection quality for all markets - Conducting experiments to understand the impact of selection on specific markets - Working on self-serve tooling to track these insights This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards. Qualifications - 3-5 years of experience in data science, consulting, or a related quantitative role - Fluent in Python & SQL - Strong exploratory data analysis skills, willingness to look under the hood - Exposure to experimental design (A/B testing) and key statistical methods - Experience in feature engineering, model design, evaluation, diagnostics, and monitoring - Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte) - Determination to initiate and lead/own strategic projects to completion with a cross-functional team - Innate curiosity to understand how things work and a first-principles approach to problem solving Benefits - Interesting and complex challenges with opportunities to create a big impact - Work onsite at our offices in Helsinki, Stockholm, or Berlin, or remotely anywhere in Finland, Sweden, or Germany - Flexible working arrangements: hybrid, at the office, or remote - A company culture that emphasizes ownership, kindness, and continuous learning Next steps 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! For any further questions about the position, you can turn to the Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com) Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

• Build, deploy, and maintain full-stack data science solutions, from data extraction to machine learning model deployment and monitoring. • Partner with the data engineer and data scientist to ensure clean, structured data is available for analysis and predictive modeling. • Design and implement advanced machine learning models, including regression, classification, and clustering techniques, to predict workforce needs and identify skills gaps. • Develop APIs to integrate machine learning models into enterprise applications and workflows, enabling real-time decision-making. • Ensure data integrity, consistency, and accuracy across multiple platforms, working closely with data governance teams to align processes. • Use data visualization tools (e.g., Tableau, Power BI) to translate complex analytical insights into actionable business recommendations for HR, business leaders, and other stakeholders. • Implement optimization algorithms to recommend actions such as hiring, training, or workforce engagement based on model outputs and business constraints. • Continuously track model performance and refine processes for model efficiency and scalability.

Title: Staff Data Scientist Location Austin HQ Employment Type Full time Location Type Remote Department Data science Job Description: Introduction: TheZebra.com meets customers right where their search for car and home insurance begins: online. We provide easy-to-use tools and services, plus friendly, licensed agents who offer advice and guidance at any point along the way. The Zebra has helped customers compare over 74 million quotes since 2012. At its heart, both insurance and tech industry veterans collaborate together to simplify insurance shopping for customers. In today’s digital world, The Zebra’s customer-centered approach offers people the choices they want and simplicity they need. The Zebra was recently named one of Austin Business Journal's 2026 Best Place to Work. Our motto is "All Stripes Welcome.” Building the best product, the best teams, and the best company comes from inviting a diverse array of voices, backgrounds and perspectives to contribute, making everyone feel welcome. Our Zeebs are passionate about learning, growing, and working together to tackle exciting problems. As a Staff Data Scientist, you’ll work cross-functionally with product managers, engineers, and analysts to identify, scope, and deliver high-impact data science initiatives. You’ll own the full data science lifecycle—from exploring and preparing data in our warehouse to building, deploying, and evaluating models in production, as well as measuring their real-world impact. You’ll also help shape the technical direction of data science and AI at The Zebra. Our data scientists are hands-on builders who write and deploy production code themselves, supported by platform engineers—no handoffs required. Beyond individual contributions, you’ll provide technical leadership across the team—setting best practices, mentoring other data scientists, and driving alignment on high-impact, ambiguous problem areas. You’ll operate with a high degree of autonomy, translating business goals into data science strategy and influencing product and engineering decisions. Success in this role means consistently tying work to measurable business outcomes while navigating tradeoffs and reducing ambiguity across stakeholders. We’re looking for someone who pairs strong technical expertise with pragmatic, impact-driven thinking. You prioritize simple, scalable solutions and iterate quickly. A strong product mindset, business intuition, and the ability to frame ambiguous problems analytically are critical, along with the ability to build trust and communicate effectively across technical and non-technical audiences. Location: Our company headquarters are in Austin, TX, but our employees work remotely across the US. For folks who live around Austin, we offer the option to join us in our office or opt for hybrid setup. Whether you prefer the structure of an office, the convenience of remote work, or a mix of both, we support what works best for you! Please note: at this time we are not able to hire in California or Massachusetts. What You'll Do: - Build machine learning models to personalize our product and connect users with the policies that best fit their needs - Work closely with cross-functional stakeholders to understand business needs and develop ML based solutions - Analyze product data, design experiments, and drive the collection and integration of new data sources - Write clean, maintainable production code to operationalize models using best practices from software engineering - Perform peer code reviews, mentor other data scientists, and drive continuous improvement in our platform and practices - Set and maintain technical standards for development, deployment, and maintenance of machine learning models - Identify areas of opportunity for the business and help communicate the role of data science in those opportunities What We're Looking For: As we evaluate candidates across all roles, we look for folks with a strong sense of ownership, great communication and collaboration skills, and a dedication to continuous improvement. - 7-10+ years experience in a technical data role with 7+ years of hands-on experience building machine learning / statistical models - MS / PhD in a quantitative field is a plus but not required - Proven mathematical foundation and knowledge of a variety of ML and statistical methods (e.g. regression, classification, clustering, experimental design) - Solid foundation in software engineering with a strong proficiency in both core Python and the Python data ecosystem (sklearn, pandas/polars, etc) - Basic familiarly with engineering topics like CI/CD, unit testing, orchestration, cloud ecosystems is required - Experience mentoring junior data scientists is a plus - Experience leading the data science function is a plus Experience that will Impress the Heck Out of Us: - Experience modeling customer/human behavior in a B2C context - Familiarity with reinforcement learning especially contextual bandits - Familiarity with causal inference - Familiarity with marketing measurement methods Why Work Here? - When we say “All Stripes Welcome,” we mean it. Considering viewpoints outside of our own as individuals creates a better, more inclusive experience for everyone - We live and breathe inclusion. You will be part of a wide array of voices, opinions, and experiences that inform everything we do - We believe in innovation. You will be part of experimentation; creative problem solving; cross-functional collaboration; testing new approaches, tools and ideas and learning from those tests; and understanding when innovation can drive real impacts and when it may not be needed. - We trust our teams. You’ll own your work, balancing personal accountability with team accountability. Together, we take pride in individual and team contributions; make thoughtful decisions; and want our teammates to succeed. - We care about each other. You’ll join a team that truly lives their values, both in and out of the office. Our Zeebs have honest conversations, give direct feedback, and remember that we are all people here to do great work. - We take thoughtful action. You will be empowered to do the right things as efficiently as possible, not just checking boxes off a list without thinking. Benefits & Perks: Inclusive and healthy environments are crafted intentionally. Here are some other wonderful perks of working here: - Competitive Compensation & Stock Option Offering - Health, Dental, Vision & Disability Coverages - End early Fridays (no meetings after 2pm CST on Fridays!) - Sabbatical program for tenured employees - HSA offering + employer contribution - Fertility support through Carrot - $100 monthly wellness perk - $300 pet reimbursement program - 401k with match - Unlimited PTO (paid time off) + flexibility to enjoy it - Paid Parental Leave Program - Learning & Development Opportunities The base salary range for this position is $175,000 - $200,000 per year. The final salary amount will be determined based on a variety of factors, including experience, skills, internal equity, and insights gained throughout the interview process About The Zebra: Headquartered in Austin, Texas, The Zebra seeks to bring transparency and simplicity to car and home insurance shopping – it's Insurance in black and white.® Our core motto is "All Stripes Welcome." As part of our dedication to maintaining an inclusive and diverse workforce, we provide equal employment opportunities (EEO) to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability or genetics. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform core job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation!