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1.859

lavori da User Researcher in località Regno Unito

Senior Data Scientist - Personalisation/Segmentation

Just Eat Holding Limited

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In loco
GBP 60.000 - 90.000
5 giorni fa
Candidati tra i primi
Voglio ricevere notifiche sulle ultime opportunità lavorative da User Researcher.

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Senior Data Scientist - Personalisation/Segmentation
Just Eat Holding Limited
City Of London
In loco
GBP 60.000 - 90.000
Tempo pieno
6 giorni fa
Candidati tra i primi

Descrizione del lavoro

A global online food delivery marketplace is seeking a Data Scientist to lead research in machine learning and AI methods. You'll prototype algorithms for audience segmentation and optimize campaigns while mentoring fellow data scientists. Candidates should have strong expertise in ML and a proven track record of deploying models into production. This position fosters growth and celebrates diversity within a supportive culture.

Competenze

  • Proven experience in research-focused data science roles.
  • Strong background in machine learning and causal inference.
  • Experience in building and deploying models into production.

Mansioni

  • Conduct research into advanced ML/AI methods applied to Retail Media challenges.
  • Prototype and evaluate algorithms for audience segmentation and campaign optimization.
  • Collaborate with engineers to maintain scalable data pipelines.

Conoscenze

Machine Learning
Data Mining
SQL
Statistical Methods
Causal Inference
Cloud Platforms (AWS, GCP)

Strumenti

Google BigQuery
Redshift
Descrizione del lavoro

This is not a typical Data Scientist, as part of a multidisciplinary, data driven team, you'll be responsible for exploring new methods in machine learning, statistics, causal interference; prototyping and validating novel algorithms; and work closely with other data scientists, product managers, analysts and engineers to ensure data is reliable, accessible and actionable for product development and analytics. You'll also partner with the broader Data & Analytics department, helping scale capabilities across our wider engineering teams. We're seeking self starters, who are passionate about data, experimentation and emerging technologies in machine learning and AI.

  • Lead and conduct research into advanced ML/AI methods, causal inference,(i.e. A/B Testing) and experimental design, applied to Retail Media challenges.
  • Prototype and evaluate algorithms for audience segmentation, recommendation, targeting, and campaign optimization.
  • Collaborating with data and ML engineers to design and maintain scalable data pipelines and ML workflows, ensuring robust model deployment and monitoring.
  • Identify and address critical gaps in data quality, model performance and pipeline reliability.
  • Mentor and support fellow data scientists, fostering a culture of collaboration and technical excellence.
  • Shape and implement data strategies that enable experimentation, audience segmentation and performance analytics.
  • Proven experience as a research-focused data scientist, with a track record of applying ML, AI, or statistical methods to complex, real-world problems and building and deployment of these models into production.
  • Strong background in machine learning, causal inference, experimentation, or recommendation systems.
  • Demonstrated ability to bridge theoretical depth with practical impact, knowing when to experiment and when to deliver.
  • Deep understanding of data mining, feature engineering and ML techniques - especially in audience segmentation or personalisation.
  • Clear and effective communication skills, with the ability to tailor insights for both technical and non technical stakeholders.
  • Strong analytical rigor in evaluating models, experiments and algorithmic changes using offline and online methods.
  • Skilled at navigating ambiguity and turning complex, messy data into actionable insights.
  • Proficiency in SQL and navigating large scale data lakes and warehouses (e.g., Google BigQuery, Redshift).
  • Experience with cloud platforms such as AWS, GCP is a plus! That's good, because at Just Eat Takeaway.com (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe.

Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers., Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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