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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Sr Data Science Engineer

What You Will Do

  • Build and refine propensity models to support targeted sales motions, leveraging advanced machine learning techniques
  • Architect a scalable model development and deployment framework that strengthens team effectiveness and mitigates business continuity risk
  • Develop and own customer headroom models that accurately size opportunities across the book of business for specific offerings and customer segments
  • Design a comprehensive account prioritisation model to sharpen account targeting and underpin the account segmentation process
  • Implement a scalable measurement and optimisation framework for sales motions, enhancing predictive capability and driving revenue growth
  • Conduct rigorous business analysis to surface the root causes of performance gaps and deliver clear, evidence-based recommendations
  • Partner with senior stakeholders to understand strategic growth priorities and ensure all analytical solutions are aligned with business objectives
  • Develop a broad suite of models including customer segmentation via clustering, customer lifetime value modelling using survival analysis, and time-series forecasting
  • Deliver channel segmentation analysis to inform customer engagement strategy and maximise lifetime value
  • Collaborate with data engineering teams to productionise data pipelines and ensure analytical solutions scale effectively across the organisation

What You Will Bring

  • 5+ years of hands-on experience with SQL for querying, cleansing, integrating, and summarising complex datasets (essential)
  • 5+ years of hands-on experience with Python for data manipulation, pipeline automation, and statistical modelling (essential)
  • Proven track record of building, testing, evaluating, and iterating on revenue-generating predictive models (essential)
  • Deep expertise in core modelling techniques including XGBoost, logistic regression, random forest, and decision trees (essential)
  • Demonstrated ability to translate complex analytical outputs into clear, compelling insights for senior, non-technical audiences (essential)
  • Strong problem-solving capability and a proven ability to thrive in fast-paced environments where requirements evolve rapidly (essential)
  • Experience with Databricks (highly desirable)
  • Familiarity with additional modelling techniques such as k-means clustering, Kaplan-Meier survival analysis, and ARIMA (highly desirable)
AI Summary ✨
Adobe logo

Adobe

City of Westminster, UK

Experience: Senior
Posted: June 25, 2026
Last seen: an hour ago
Express
Python
machinelearning

Why we track Adobe

Adobe has had EU engineering teams for a long time, including a significant presence in Romania. The creative tools are used by millions, and they're increasingly investing in AI-powered features. More technically interesting than people give them credit for.

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