algo1 - Senior Data Scientist
Requirements
• 3-5+ years implementing advanced data science solutions in a commercial setting. • MSc in Computer Science, Machine Learning, or a related field. • Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). • Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. • Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. • Strong practical understanding of retail analytics including consumer segmentations, personalisation systems, campaign effectiveness and media measurement. • Experience with recommender systems and/or behavioural AI.
Responsibilities
• Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. • Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. • Bring your models to production and optimise for inference in edge computing environments.
Benefits
• Opportunity to build technology that will transform millions of shopping experiences. • Real ownership and impact in shaping product and company direction. • A dynamic, collaborative work environment with cutting-edge ML challenges. • Competitive compensation and equity in a rapidly growing company. • If you're an energetic data scientist who thrives in a fast-paced environment and wants to make a real impact on the future of retail, we'd love to hear from you.
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