Senior Data Scientist

at  Pleo

København, Region Hovedstaden, Denmark -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate25 Jan, 2025Not Specified26 Oct, 2024N/AGood communication skillsNoNo
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Description:

SENIOR DATA SCIENTIST

Location
Amsterdam, Berlin, Copenhagen HQ, Lisbon, London, Madrid, Paris, Stockholm
Team
Data & Analytics
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With our product, Pleo is challenging outdated norms in the business spend industry by trusting employees to make purchases on the company’s behalf - no more expense reports or out of pocket spending.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 domain this role will be part of:
The Spend Management helps our customers manage their spend with us in a way that’s intuitive, efficient, and user-friendly. Humans interacting with our product should feel valued, delighted and impactful in whatever they are trying to do. This will be a fixed term contract of 12 months. However, we have a very good internal mobility program that means that the chances of finding a new position for another team after the 12 months pass are very high.

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We’re looking for new friends, gifted minds, team players, restless talents and passionate problem solvers.
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Some more roles for you…
And it doesn’t stop there. Why not have a browse at our other open roles in this department?
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Amsterdam, Berlin, Copenhagen HQ, Lisbon, London, Madrid, Paris, Stockholm
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How Pleo hires
-
1
The first call(s)
Let’s get to know each other. We want to find out more about you, your motivations, and give you more information about the role.
-
2
The challenge
The task is deliberately open-ended and based on something you’ll actually work on. There are no right or wrong answers here.
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3
The team interview
Expect to share a (virtual) meeting room with two to three people you’ll work with regularly if you get the job.
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4
The final interview
A call with someone in leadership who’ll walk you through the big picture and chat about how your role will figure into that.
Find out more

Responsibilities:

WHAT GREAT LOOKS LIKE IN THIS ROLE

  • Be part of the team that provides company-wide trusted insights on our products and features, focusing on predictive and prescriptive insights
  • 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 product & engineering teams, 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 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.
  • 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.
  • Understand, identify, and leverage data sources across Pleo, encompassing both internal data and external data that can be utilized for building models
  • Monitor and optimize the performance of ML models, focusing on a long-term strategy to continuously improve user experiences.
  • Translate complex data into actionable insights and effectively communicate technical work and findings to diverse audiences, ranging from product managers to leadership teams.
  • 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.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Proficient

1

København, Denmark