Senior Data Scientist

With our product, Pleo is challenging outdated norms in the business spend industry by trusting employees to make purchases on the company's behalf -- no more expense reports or out of pocket spending.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?

But let us introduce you to the team this role will be part of:

The Strategy & Commercial Effectiveness team sits within the Revenue Operations domain, to empower the commercial teams through transformational strategic initiatives that drive significant, repeatable, lasting commercial impact. This is a multi-competency “10x” Team focussed on driving, building and executing a fresh approach to delighting customers via our commercial product and workforce, helping Pleo chart a path to profitability. The goal is to deliver at the CAG-level to support all customer segments and across the Pleo lifecycle.

What Great Looks Like In This Role

• Be part of the team that unlocks commercial growth and commercial effectiveness and enables 300+ internal stakeholders. 
• 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.
• You autonomously tackle complex problems with a solution-driven and pragmatic approach.
• You translate business problems into technical challenges, and take ownership in designing and executing the solutions.
• You effectively collaborate with stakeholders across different competencies, teams and domains, and enable these stakeholders to develop data-inspired products and solutions.
• Demonstrate innovative thinking by exploring diverse data sources (internal and external) to improve the predictive power of your models. 
• You are an ambassador for excellence within the Data & Analytics community, you lead by example, share your knowledge, and inspire others.

Your Responsibilities

• Collaborate closely with multiple stakeholders, including business leaders, to understand their objectives and requirements. Lead the scoping, design, and development phases to create tailored, data-inspired solutions.
• Conduct quantitative research to inform the team’s strategy and identify opportunities for improvement. Devise learning methods, including experiments, to test hypotheses and enhance our understanding of the commercial landscape.
• Understand, identify, and leverage data sources across Pleo, encompassing both internal data and external data that can be utilized for building models
• Build, monitor and optimize the performance of ML models, focusing on a long-term strategy to continuously improve the end-user experience.
• Translate complex data into actionable insights and effectively communicate technical work and findings to diverse audiences, ranging from sales teams to leadership teams.
• Take ownership of complex projects, serving as the technical lead and ensuring successful execution from inception to delivery, and be the primary interface between the data & analytics team and the other team members
• Provide mentorship and guidance to other data & analytics team members, fostering a collaborative and learning-oriented environment within the data & analytics team.
• Stay abreast of advancements in ML and artificial intelligence, exploring opportunities to implement cutting-edge technologies in product development.

Your Colleagues Say You:

• Are self-sufficient, solution-driven, and love to see the impact of your work and team
• Have excellent hands-on knowledge of SQL + Python/R and experience with more advanced analytics topics such as cohort and regression analysis
• 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.
• 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 with ML Ops practices
• Take proactive ownership, exhibit adaptability in problem-solving, and demonstrate authentic leadership with a commitment to radical candour.

Show me the benefits!

• Your own Pleo card (no more out-of-pocket spending!)
• Lunch is on us - with catering in our Lisbon, Copenhagen and Lond