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Senior Data Scientist/ML Engineer

2 months ago

London, Greater London, United Kingdom Healthnix Full time
About Healthnix

Healthnix is a pioneering techbio food as medicine pre-seed company on a mission to help 1 million people gain 5 years of healthy living by 2030. We aim to become the category leaders in musculoskeletal self-care.

Job Summary

We're seeking a trailblazing Senior Data Scientist/ML Engineer to join our growing team and revolutionize our recommendation and personalization solutions. In this role, you'll leverage cutting-edge machine learning to build high-performance models that drive business value and transform user experiences.

Key Responsibilities
  • Apply state-of-the-art machine learning techniques, including deep learning, reinforcement learning, causal inference, and optimization, to design and build recommendation models & personalization engines tailored to our users' preferences.
  • Create the tools, frameworks and libraries that enable the acceleration of our ML product delivery.
  • Drive improvements to our current AI workflows in terms of process, performance and testing.
  • Present findings, insights, and solutions to the product team, translating complex technical concepts into business language.
  • Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate.
  • Establish thought-leadership by following up around state of the art research in responsible AI and Gen AI, experiment with and benchmark novel techniques related to model monitoring, model explainability, model fairness etc.
Requirements
  • Ph.D. in Data Science, Computer Science, Statistics, or a related field
  • 5+ years of industry experience in building and deploying machine learning models, with a focus on recommendation systems and personalization engines
  • Hands-on experience in delivering machine learning models to production at scale
  • Experience in writing production-quality Python code
  • Comfortable working with Python data science and machine learning libraries such as scikit-learn, TensorFlow, Keras, pandas, numpy, PyTorch, XGBoost
  • Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting
  • Experience with A/B testing and experimentation in a production environment
  • Experience in a customer-facing role, including gathering requirements and providing data-driven insights
  • Knowledge of cloud platforms (AWS, GCP, or Azure) for deploying machine learning models at scale
  • Familiarity with data privacy regulations and best practices in handling sensitive user data
  • Relevant certifications such as Certified Data Scientist, Google Cloud Professional Data Engineer, or AWS Certified Machine Learning – Specialty
What We Offer
  • A unique opportunity to join a rocket ship & a category defining company before we fully take off.
  • A chance to chart your own path, diving deep into recommendations, generative AI, NLP, and system design.
  • A collaborative and dynamic work environment with a team of outstanding scientists, engineers, and entrepreneurs.
  • A competitive salary and benefits package.