Lead Data Scientist

April 10

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Primer

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Powerful no-code automation for payments and commerce.

automation • payments • workflows • checkout • commerce

51 - 200

Description

• Owning Primer’s Data Science function! You’ll own and design our data products, working closely with the Head of Product. • Lead a small, growing data team in the race to own the data space within the payments world. • Collaborate with cross-functional teams to identify opportunities for applying statistical & machine learning techniques to optimize payment success • Building innovative and impactful data products, harnessing the unique data set Primer continues to build over time • Work closely with software engineers to integrate machine learning solutions into production systems and ensure robustness, scalability, and reliability • Optimize model performance through experimentation, tuning hyperparameters, and implementing best practices in machine learning. • Develop, document and implement processes to put in place as the team scales

Requirements

• Previous experience in leading a data/ML team • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field • Confidence in communicating and collaborating with the teams - Engineering, Product, Sales, and more • Passionate and committed to solving highly complex problems • Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages (Python required) • Solid understanding of statistical methods, probability theory, and data analysis techniques. • Familiarity with software development best practices, version control systems (e.g., Git), and agile methodologies. • Attention to detail and able to document your work thoroughly

Benefits

• We are fully remote • Competitive share options • Uncapped holiday, with 25 days minimum to be taken • Co-working space access • Workations & company retreat • The best equipment for your role • £500 towards your home office setup • Generous learning budget • Medical insurance • A broad set of additional perks and benefits (depending on location)