Role Description As a Senior 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 - Identifying solutions - Designing experiments - Influencing decision-making This is a rare, operational, and actionable data-driven experience that requires a good mix of technical and stakeholder engagement skills. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role. Data Scientists at Wolt take ownership of the business outcomes. If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, we're looking for someone like you. Qualifications - 5+ years of experience in a Data Analytics or Data Science position - Experience working with product funnels and user journeys - Proficiency in SQL and Python - Expertise in statistical analysis, including A/B testing using statistical software packages in Python, R, or equivalent for product development (preferably consumer-facing) - Experience in using AI in your work to accelerate work velocity, automate repetitive tasks, and generate SQL queries and experiment readouts - 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 the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach Benefits - Interesting and complex challenges with opportunities to create a big impact with your skills - Access to lots of geolocational and temporal data in real-time - Flexibility to choose your location from our tech hubs in Berlin, Helsinki, and Stockholm, or work entirely remotely in Germany, Finland, and Sweden - Ability to decide the ways of working: hybrid, at the office, or remote - A company culture that emphasizes ownership, humility, 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 Senior 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.

Role Description We are seeking a driven and creative Data Scientist with a minimum of 3 years of experience in a data science or machine learning role, who will be instrumental in building predictive models, testing hypotheses, and providing statistically sound insights that enhance our lead generation capabilities. The Data Scientist will be part of our analytics team, working closely with IT, marketing, media buying and CRO teams to transform raw data into actionable insights. - Leverage agentic AI-assisted development tools throughout the workflow, from exploratory analysis and feature engineering to model development and pipeline building. - Design, develop, and deploy machine learning models to segment and score landing page visitors based on intent and lead quality. - Engineer predictive features from raw user behavior data to improve model accuracy and business relevance. - Build and maintain real-time scoring pipelines that enable dynamic postback signals to ad networks. - Collaborate with marketing and analytics teams to define quality/intent tiers and translate business logic into quantifiable model outputs. - Conduct exploratory data analysis and experimentation to uncover patterns in user behavior that correlate with downstream lead quality and conversion outcomes. - Continuously monitor, evaluate, and iterate on model performance, ensuring alignment with evolving business goals and traffic patterns. - Contribute to forecasting and budget projection initiatives as needed. - Clearly communicate, document and present findings, methodologies, and model specifications for cross-functional, non-technical stakeholders. - Support data-driven decision-making by quantifying uncertainty, assessing statistical significance, and challenging assumptions. - Identify and quantify relationships between behavioral signals, traffic sources, campaign attributes, and lead quality outcomes. - Serve as an analytical partner to media buyers and marketing teams. Qualifications - 3+ years of experience in data science, machine learning, or a related quantitative role. - Comfortable working in agentic AI-assisted development environments (e.g., Cursor, ClaudeCode, Antigravity). - Strong proficiency in Python, including ML libraries such as scikit-learn, XGBoost, LightGBM, or similar. - Solid experience with feature engineering, particularly from behavioral, clickstream, or event-based data. - Familiarity with deploying models in production environments; experience with real-time or near-real-time inference is a strong plus. - Strong foundation in statistical inference, hypothesis testing and root-cause analysis. - Proficiency in SQL and experience working with large-scale datasets. - Understanding of classification, regression, and clustering techniques. - Exposure to digital marketing concepts and KPIs (CPL, CVR, ROAS, etc.) is highly desirable. - Ability to translate vague business questions into testable hypotheses and structured analyses. - Excellent problem-solving skills with the ability to work through ambiguity. - Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. - Team-oriented mindset with a collaborative and proactive approach. - Upper-Intermediate or higher level of English. Requirements - Experience building or using custom skills, prompt workflows, or tool-use patterns within agentic coding environments. - Experience in lead generation, ad-tech, or performance marketing environments. - Familiarity with ad network optimization, postback mechanisms, or conversion APIs. - Experience with cloud platforms and MLOps tools. - Background in time-series forecasting or demand modeling.

Role Description As a Senior Data Scientist, reporting to the Head of Data Science in our Data & Analytics team, your purpose will be to build and own machine learning powered features that directly improve our customer app and marketplace experience. - Work on customer-facing problems such as: - Search and ranking - Recommendations - Segmentation - Lifecycle modelling including activation, churn, and reactivation - Lead scoring - Personalization - Operate end to end, from shaping ambiguous product ideas into clearly defined problems, through modelling and experimentation, to deploying and monitoring production systems. - Take real ownership, which may include: - Contributing to data pipelines - Partnering closely with engineers on real-time systems - Ensuring models are robust, scalable, and measurable against business KPIs such as conversion, retention, and revenue. - Collaborate cross-functionally with Product, Engineering, Marketing, and Pricing, acting as both a technical expert and a structured problem-solver. Qualifications - Proven experience delivering machine learning solutions end to end in production, ideally in a marketplace or customer-facing product environment. - Strong experience with behavioural and customer data, including segmentation, lifecycle modelling, scoring, search, or recommendation systems. - Strong Python and SQL skills, with the ability to work across modelling and data preparation. - Experience working with cloud platforms, GCP preferred and AWS also welcome, and understanding how data pipelines are built and maintained. - Demonstrated ability to define problems clearly, engage stakeholders, and communicate impact in commercial environments. - Conversational-level English language skills. Requirements - Experience applying NLP and LLMs to real product use cases. Generative AI is a plus but not the whole role. - Experience working with real-time or near real-time systems. - Exposure to pricing or marketing optimisation problems. Benefits - This is a fully remote position. We take pride in being a globally distributed team. - A generous holiday allowance of 26 days plus public holidays. - Access to a global learning and development program, wellness benefits, and discounts across partner platforms.

Title: Senior Scientist, Claims Excellence Location: North America, United States, New Jersey, Summit Job Description: Kenvue is currently recruiting for a: Senior Scientist, Claims Excellence What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated.We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. Role reports to: Claims Excellence Lead Self Care Location: North America, United States, New Jersey, Summit Work Location: Hybrid What you will do This position serves as a key member of the Translational Science Claims Excellence team, driving the development and execution of claims strategies and roadmaps for new product and innovation projects. The individual will contribute scientific expertise to strengthen claims, support study execution, and ensure timely project delivery. This role partners cross-functionally with R&D and global stakeholders to translate complex scientific insights into clear, compelling claims and messaging for both consumers and healthcare professionals. Key Responsibilities - Serve as a member of the Translational Science Claims Excellence team dedicated to the development of the claims strategy and implementation of claim roadmaps and creative claims support strategies for new product or claim innovation projects, working cross-functionally across R&D subject matter experts. - Play a claims subject matter expert role in understanding the relevant science to provide contributions, translations and/or make recommendations to strengthen claims and or science storytelling to cross-functional and global project teams within R&D. - Communicate and translate scientific and technical knowledge for consumer-facing and healthcare professional message development. - Participate on global, cross functional teams for evaluation of new product ideas and project implementation, providing active scientific contributions and ensuring timeline adherence and project completion of claims approvals and corresponding studies. - Champion the new Kenvue Human Centered Innovation mindset, claims process and claims system. What We Are Looking For Required Qualifications - Strong collaboration, influence, and decision-making skills, along with the ability to manage routine processes and consider measured risks, are critical components of the role. ​ - Bachelor's degree with at least 3 years or Master’s/PharmD/PhD degree with 2+ years of Consumer/OTC/pharmaceutical (or equivalent) industry and/or relevant work experience. - Education to include scientific fields such as health sciences, biology, chemistry, engineering, sensory, or pharmaceutical science is preferred. - Experience in developing compelling claims & communication strategies and translating scientific evidence into robust claims substantiation. - Ability and flexibility to work in a global environment. - The ability to work in a matrix environment with cross-functional teams and have excellent verbal and written communication skills is essential - Must be able to work independently, think analytically, manage multiple complex tasks, while also being highly detail oriented and organized. What’s in it for you Annual base salary for new hires in this position ranges: $105,400.00 - $148,800.00 This takes into account a number of factors including work location, the candidate’s skills, experience, education level & other job-related factors. - Competitive Benefit Package* - Paid Company Holidays, Paid Vacation, Volunteer Time & More! - Learning & Development Opportunities - Kenvuer Impact Networks - This list could vary based on location/region *Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process. Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.