Senior Data Scientist

Summary

Join Octopus Electric Vehicles' Data Team as a Senior Data Scientist and revolutionize the electric car leasing industry. Collaborate with stakeholders to define data solutions, design technical solutions from data gathering to model deployment, conduct experiments using machine learning models, and communicate insights to non-technical audiences. Build and maintain data infrastructure, develop data analytics applications, and contribute to the team's growth. The ideal candidate possesses a passion for decarbonization, extensive data science experience, a product-minded approach, and strong communication skills. Expertise in SQL, Python, and data transformation is essential. The company offers a unique culture, competitive salary, and various benefits.

Requirements

• First and foremost, a passion for decarbonisation
• Ideally, extensive experience in a data science or analytics role, with a clear track record of delivering business impact
• A product-minded approach – you’ll have a track record of being able to keep your eye on the outcome of a project and not get blinkered on a specific technical avenue
• Evidence of being able to extract clear objectives and requirements from broad challenges or questions
• Eagerness to get your hands dirty and work across the whole data lifecycle
• Great attention to detail
• Expertise in communicating complex ideas clearly, and a strong background in using data to influence decisions and behaviours
• Experience with (in rough priority order):SQL (experience in writing performant queries)
• Python & DS libraries (sklearn, pandas, spark, etc)
• Data transformation
• Data visualisation & storytelling

Responsibilities

• Collaborate directly with senior stakeholders across all teams to identify how the Data Team can help them achieve their goals
• Own the full end-to-end design of technical solutions that help us achieve our goals – from data gathering, to analytics engineering, to model selection, training and interpretation
• Conduct experiments and proofs of concept by developing and deploying machine learning models to solve critical growth/efficiency challenges (like lead scoring, delivery forecasting, customer sentiment prediction, etc)
• Work closely with our Senior Data Engineer to deploy your models
• Regularly package your insights (be it from analytics or modelling) into clear narratives that help non-technical audiences make better decisions
• Contribute actively to our stack by building pipelines and DBT models that enable our users to self-serve
• Pick up tickets raised by our users when they get stuck - from reporting, to query help, to (occasionally) dashboarding
• Help shape the direction of our growing team

Preferred Qualifications

• DBT
• Experience working with ambiguity in a scale-up (or scale-up-like) environment
• Passion about shaping the direction of the team, and excitement about working across all areas of the business
• You don’t need experience with electric vehicles (we can teach you that!), but having worked in similar environments might be a bonus