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.

Job Title: Purdue Global Full-Time Faculty, Science (Remote) Location: United States Job Description: Req Id: 42207 City: Remote/Virtual Job Description: Our Opportunity: The Full-Time Faculty role will provide support to Purdue University Global's School of Multidisciplinary and Professional Studies. Building on Purdue University's mission to provide greater access to affordable, high-quality education, Purdue University Global is a public, nonprofit institution offering a world-class education online. Job Summary: Full-time faculty may have responsibilities in four areas: teaching, service, scholarship, and professional development. The amount of time spent in each area is determined on an annual basis, after discussion between the faculty member and their Program Head, and may vary from year to year. The workload is based on the needs of the Department and School, consistent with the university's mission as a teaching institution. While the majority of faculty typically spend the greatest percentage of their time teaching, there is the opportunity in a given year for the percentage of time in any category to change. Teaching responsibilities may include both undergraduate and graduate courses. The number of courses assigned will consider credentials, program needs, course types, the number of different preparations, and the number of students served. Service will typically include participating in and/or taking leadership roles in Purdue Global department or institution-wide governance committees. Service examples also include course lead, training and mentoring other faculty, facilitating student-focused organizations or activities, the evaluation of student portfolios, curriculum work, vacation relief for colleagues, and leadership in professional organizations. In limited cases, specific service activities may be assigned additional compensation. Scholarship activities vary with the interests of the individual faculty member and may not be required. Scholarship activities should be developed in consultation with the Dean, Associate Dean or Program Head. Examples of PG scholarship activities include developing and implementing solutions or new approaches to academic and professional challenges, as well as publishing articles related to research within the discipline or profession and/or presenting at academic or professional meetings. Some professional development (8 hours) is required for all faculty over the course of a year. Faculty development beyond these minimum expectations may be considered part of an annual workload, if determined appropriate by the Academic Program Head or requested by the faculty member and approved by the Program Head. A balance of these four responsibilities is intended to sustain the academic goals of the university to serve adult learners, and advance the professional goals of the faculty, while creating a supportive learning environment that provides students with a clear path to graduation. Teaching is typically the primary assignment for a Purdue Global faculty member, with service, scholarship and additional professional development activities comprising the balance of the annual workload. If no assignments are made in service and scholarship, a faculty member whose only assignment is teaching would not exceed 16-18 courses taught in a year. What to expect in this role: - Provides a student-centered learning environment which enables students to attain success. - Reports concerns regarding student academic progress to Success Coaches or Academic Advisors, as appropriate. Refers students with questions regarding financial aid, academics, attendance, and personal issues or concerns to the appropriate departments. - Actively assists the University in retention and/or outreach efforts, which may include directly contacting students who are not engaged in the course or absent per department or campus guidelines. - Maintains open and timely communication with students and the university via Purdue Global email. Reports student behavioral and Code of Student Conduct issues. - Participates in institutional assessment and assists Chairs and Deans to develop and implement new programs as assigned. - Regularly attends and participates in faculty meetings and continuous improvement sessions. Serves on university committees as assigned. - Remains current with trends, techniques, and advances in technology that are applicable to the program. Incorporates creative instructional strategies and/or learning activities. - Maintains and submits accurate and timely reports for student grades. - Follows university style and branding guidelines for materials that are created for students. Providing students with materials that always meet accessibility standards. Experience: - Minimum requirements: Master's degree in Physics; PhD preferred. - Minimum 2- 4 years related subject-matter work experience; online teaching experience preferred. What we're looking for: - Exceptional computer skills using Microsoft Office Suite, Google applications and Zoom meeting technology. Experience with Brightspace education software is preferred. - Excellent communication, organizational and time management skills, and with the ability to work independently with minimal supervision. - Ability to work effectively in a remote environment with minimal supervision. - Capable of building strong working relationships across teams, departments and Schools. - Ability to handle sensitive and confidential information with discretion. Additional Information: - The target salary for this position is $64,000, learn more about our benefits HERE - Purdue University Global will not sponsor employment authorization for this position. - A background check will be required for employment in this position. - We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. You may wish to review the Purdue Virtual Meeting Professional Standards. - When applying for a faculty position at Purdue University Global you will be asked to provide an unofficial transcript and if hired will be required to provide an official transcript. - FLSA: Exempt (Not Eligible For Overtime) - Purdue Global is an EEO/AA employer. Our goal is to recruit and retain talent from a broad pool of applicants. Purdue Global celebrates a variety of perspectives, experiences, and skills to support a success-focused environment for employees and students. Employment decisions are based on qualifications, merit, and business needs. All are encouraged to apply.

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.