(Nno-616) - Senior Data Scientist Amsterdam, Copenhagen Hq, Lisbon, London, Madrid, Stockholm

Detalles de la oferta

With our product, Pleo is challenging outdated norms in the business spend industry by trusting employees to make purchases on the company's behalf -- no more expense reports or out of pocket spending.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 focused 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 RoleBe 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.
Your ResponsibilitiesCollaborate 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.
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Salario Nominal: A convenir

Fuente: Jobleads

Requisitos

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