Senior Data Scientist – Personalisation
Qodea
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
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Job Level
About the role
- 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.
Benefits
- Diversity and InclusionAt Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningstatistical analysiscausal inferenceexperimental designA/B testingNext Best Action (NBA)Learning to Rank (LTR)data manipulationML algorithmsPython
Soft Skills
investigative mindsetcuriosityproblem-solvingcommunicationcollaborationproactive mentalityself-startingiterative approachhypothesis formulationdata-driven insights
Certifications
MScPhD