Senior Data Scientist, Marketing Analytics Specialist

6 days ago


Stockholm, Stockholm, Sweden Wolt Full time

{"About the Team": "At Wolt, our Marketing Analytics Team is dedicated to solving marketing challenges and optimizing our marketing mix through attribution, MMM, and experimentation. We work closely with the marketing team to identify areas for improvement and growth across all Wolt countries. Our team comprises a cross-section of Data Scientists and Analytics Engineers who collaborate to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization.", "About the Role": "As a Data Scientist at Wolt, you will dive into our data to solve crucial business problems. Your role will involve diagnosing problem areas, identifying solutions, designing experiments, and influencing decision-making. 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.", "Key Responsibilities": "\u2022 Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings \u2022 Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends \u2022 Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business \u2022 Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools \u2022 Identify and measure levers to help move essential metrics and make recommendations \u2022 Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance, and engineering \u2022 Help our cross-functional teams use various data points to properly size the potential initiatives and opportunities \u2022 Work backwards from understanding and sizing problems to ideating solutions \u2022 Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress \u2022 Act as mentors and guide the team towards actionable outcomes", "Qualifications": "\u2022 At least 5 years of experience in data analytics, consulting, or related quantitative role \u2022 The ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way \u2022 The determination to initiate and lead/own strategic projects to completion in a scrappy environment with a cross-functional team \u2022 Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing \u2022 Proficiency in at least one programming language, preferably Python and/or R \u2022 Expertise with SQL queries, Basic ETL, Predictive modelling \u2022 Proficiency in one or more analytics & visualization tools (e.g. Looker, Tableau) \u2022 Clear and concise communication with strong cross-functional partnership experience \u2022 Drive measurement strategy for the area under scope, defining success metrics, and implementing best practices around experiment design and statistical analysis"}



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