Senior Data Scientist – Personalisation

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October 31

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Beyond

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Artificial Intelligence • Cloud • SaaS

Beyond is a company that provides a range of cloud services and solutions focused on enhancing data, artificial intelligence, and cloud initiatives. They are known for their expertise in Generative AI, Machine Learning, and MLOps, working with partners like Google Cloud to deliver high-quality solutions. Beyond offers services such as cloud implementation, operations support, and AI-driven workplace solutions. They also focus on improving customer experiences and creating innovative technology products. Beyond has a global presence, delivering solutions in regions including the US, UK, Ireland, and Europe, and they are a trusted Google Cloud partner.

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Lead the exploratory analysis and data investigation to identify new features and modeling opportunities for personalization, ranking, and contextual nudges. • Design, prototype, and validate a wide range of machine learning models, with a deep focus on algorithms for Next Best Action (NBA) and Learning to Rank (LTR). • Apply your expertise in statistical analysis, causal inference, and experimental design to build and interpret robust A/B testing frameworks, ensuring model improvements are statistically significant. • Formulate and test hypotheses in an ambiguous problem space, demonstrating a "fail-fast" and iterative approach to model development. • Collaborate closely with ML Engineers to define model requirements, feature needs from feature stores, and scalable serving logic. • Research and adapt cutting-edge academic techniques in machine learning, recommendation systems, and optimization to solve real-world business challenges. • Prototype models for marketing technology use cases, leveraging customer attributes from diverse sources (like Oracle) to prove potential uplift. • Communicate complex findings and model mechanics clearly to both technical and non-technical stakeholders.

🎯 Requirements

• Advanced degree (MSc or PhD) in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field. • 5+ years of hands-on experience as a Data Scientist, applying advanced statistical and machine learning techniques to complex business problems. • A deeply investigative and curious mindset, with a proven ability to navigate ambiguous problems and deliver concrete, data-driven insights. • Expert-level theoretical and practical knowledge of ML algorithms, including a strong understanding of the mathematics behind models used for ranking (e.g., LTR), recommendations (e.g., collaborative/content filtering, matrix factorization), and decisioning (e.g., uplift modeling, reinforcement learning concepts). • Mastery of Python and its core data science/ML ecosystem (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Jupyter). • Strong experience with SQL and data manipulation, ideally within a cloud environment like GCP BigQuery. • Experience in designing and analyzing large-scale A/B experiments. • A proactive, self-starting mentality and exceptional problem-solving skills.