Lead Data Scientist

We are looking for a seasoned Lead Data Scientist to build and embed intelligence into the products that significantly reduce fraud and improve the FinCrime efforts at Tide . You will work closely with the FinCrime team to solve business challenges, design data products, and leverage machine learning to detect and mitigate fraud, driving meaningful impact for the business. As the Lead Data Scientist you’ll be: Collaborating with the FinCrime team : Work closely to identify and solve fraud detection problems, using data science to drive business decisions and significantly reduce fraudulent activities. Translating business requirements : Understand business needs and translate them into data products and models that address specific fraud detection challenges. Building and optimizing models : Train machine learning models, optimize hyperparameters, design KPIs, and implement experiments to improve fraud detection accuracy and business outcomes. Productionizing models : Work with machine learning engineers and data engineers to deploy models into production, ensuring they are scalable and optimized for real-time fraud detection. Adopting new methodologies : Lead the adoption of innovative methods and technologies, continuously improving fraud detection models and data science practices. Coaching junior data scientists : Mentor and guide junior team members, setting best practices for model development, optimization, and deployment. Being a technical subject matter expert : Serve as a subject matter expert, providing guidance on complex technical concepts related to fraud detection, machine learning, and data science.