Senior Data Scientist

<p>At our core, we stand for delegated company spending. To many, this may not sound thrilling, yet it's a fundamental shift for ourselves and our customers. We're challenging the outdated norms by trusting employees to make purchases on the company's behalf - no more expense reports or out-of-pocket spending. This puts trust in employees so that they can buy what they need when they need it. Future of work stuff, you know?</p> <p>But let us introduce you to the domain this role will be part of:</p> <h3><strong>So What's Data &amp; Analytics At Pleo Like?</strong></h3> <ul> <li>We are a community of 45+ talented data &amp; analytics professionals working from more than 10 different locations worldwide with backgrounds in data analytics, analytics engineering, data engineering, and data science.</li> <li>We use SQL (BigQuery), Python, and Jupyter for ML model development and orchestration, model data with DBT, store it in BigQuery, present insights through Looker, and incorporate data from diverse sources such as internal systems and platforms like Segment.</li> <li>We are united by a shared vision to stop the guessing game and unlock growth for Pleo.</li> <li>We deeply care about data culture, strategy, and empowerment of our stakeholders.</li> <li>We deal with a huge variety of data and insights spanning the entire business, from the detailed inner workings of the Pleo platform to web &amp; app metrics, CRM details, financial and banking records, human resource information, and everything else needed to fuel Pleo’s strategy in a data-inspired manner.</li> </ul> <p><strong>What Great Looks Like In This Role</strong></p> <ul> <li>Be part of the team that provides company-wide trusted insights on our products and features, focusing on predictive and prescriptive insights</li> <li>Pave the way for Data Science at Pleo; establish methodologies for building machine learning (ML) models that help us deliver exceptional experiences to our customers and drive our revenue and user growth</li> <li>You autonomously tackle complex problems with a solution-driven and pragmatic approach.</li> <li>You translate business problems into technical challenges and take ownership of designing and executing the solutions</li> <li>You effectively collaborate with product &amp; engineering teams, and enable these stakeholders to develop data-inspired products and solutions</li> <li>Demonstrate innovative thinking by exploring diverse data sources (internal and external) to improve the predictive power of your models</li> <li>You are an ambassador for excellence within the Data &amp; Analytics community, you lead by example, share your knowledge, and inspire others.</li> </ul> <p><strong>Your Responsibilities</strong></p> <ul> <li>Collaborate closely with stakeholders, including product managers and business leaders, to understand their objectives and requirements. Lead the scoping, design, and development phases to create tailored, data-inspired solutions.</li> <li>Conduct quantitative research to inform product strategy and identify opportunities for improvement. Devise learning methods, including experiments, to test hypotheses and enhance our understanding of user behavior.</li> <li>Understand, identify, and leverage data sources across Pleo, encompassing both internal data and external data that can be utilized for building models</li> <li>Monitor and optimize the performance of ML models, focusing on a long-term strategy to continuously improve user experiences.</li> <li>Translate complex data into actionable insights and effectively communicate technical work and findings to diverse audiences, ranging from product managers to leadership teams.</li> <li>Provide mentorship and guidance to other data &amp; analytics team members, fostering a collaborative and learning-oriented environment within the data &amp; analytics team.</li> <li>Stay abreast of advancements in ML and artificial intelligence, exploring opportunities to implement cutting-edge technologies in product development.</li> </ul> <p><strong>Your Colleagues Say You:</strong></p> <ul> <li>Are self-sufficient, solution-driven, and love to see the impact of your work and team</li> <li>Have excellent hands-on knowledge of SQL + Python/R and experience with more advanced analytics topics such as cohort and regression analysis</li> <li>Expertise in applying data science within product teams to optimize features and user experiences. Demonstrate a track record of designing automated solutions with ML, particularly in the context of in-product decisions that align with business goals, ideally within the financial services industry.</li> <li>You have experience and comprehensive knowledge in machine learning (ML), covering a range of algorithms and techniques, including but not limited to the selection of appropriate models, tuning of hyperparameters, and rigorous evaluation of model performance. Are familiar with at least one cloud platform (GCP/AWS/Azure) and acquainted wi