Staff Data Scientist/Machine Learning Engineer

About the role

We’re on a mission to give retailers unparalleled visibility into what’s happening across their business, turning real-time data into actionable intelligence that helps them stay one step ahead. Today, more than 13,500 retail stores and 50,000 retail professionals around the world rely on our platform.

Requirements

• Advanced Python programming and strong SQL skills for complex analysis and data manipulation.
• Demonstrated experience designing, deploying, and monitoring at least one ML model in a production environment.
• Able to communicate complex ML concepts clearly to non-technical stakeholders including product managers, legal, executives, and customers.
• A strong, considered perspective on responsible AI, including fairness, explainability, and the ethical implications of predictive systems applied to human behaviour.
• Deep expertise in computer vision or LLMs that goes beyond leveraging commodity APIs, you can reason about architectures and trade-offs at a model level.
• Sound judgment on when to use pre-built solutions versus building novel approaches, weighing accuracy, latency, cost, and maintainability.
• Experience with ETL/ELT processes and data engineering tooling, including dbt and Snowflake.
• Comfort working in cloud environments (Azure or GCP preferred) and with containerised applications (Docker).
• Proficiency with Git/GitHub and collaborative development practices including code review and CI/CD.
• Experience with the full ML lifecycle: dataset construction, feature engineering, model training, evaluation, deployment, monitoring, and retraining utilizing Feature Stores and Model Registries.

Benefits

• Competitive salary Range: Depending on level of experience (IC4 - $157,500 - $197,500)
• Employee share scheme: You’ll own part of a company making a real difference!
• Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend.
• Shorter work weeks (at full pay): Everyone gets Friday afternoons off, so you can start your weekend early, and do more of whatever it is that makes you happy.
• Focus on mental and physical health: We understand how vital our health is and have policies to support your wellness, including Wellness Days, and up to $500 for expert sessions every year.
• Health care plan (Medical, Dental & Vision): Auror covers 100% of the cost of your individual health insurance plan with Anthem & Metlife.
• Family-friendly: We offer comprehensive paid parental leave - 12 weeks for birth parents and 6 weeks for non-birth parents following birth, adoption, or surrogacy, available to all Aurors from day one.
• Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills.
• Team love: We have regular team lunches and social events where most (if not all) activities are during work hours.