Senior Data Scientist

We’re looking for an experienced, product-minded data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, insightful in your analytical approach, and pragmatic in embedding data science in enterprise products. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices.

KEY DUTIES

● Independently apply advanced statistical concepts leveraging both theory and practical experience to deliver repeatable, scalable workflows and products

● Shape experimental design and incorporate a working knowledge of advanced experimental analytics techniques to accurately measure the success of Curinos ML based marketing optimization campaigns

● Independently select the appropriate approaches from a broad toolkit of ML algorithms and embody high standards of quality and accountability throughout the ML model development lifecycle, with an eye to enabling successful, repeatable, scalable production-level deployment

● Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities

● Proactively explore available data and opportunities to leverage the latest developments in AI to innovate our suite of FinTech products

● Apply advanced data management techniques and tools to bring datasets into data science workflows and systems, enabling our products

Requirements

● You have 5+ years' experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications. Experience in scientific marketing contexts is a plus

● You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models

● You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques. Experience with generative AI and LLMs is a plus

● You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting

● You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers

● You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals

● You can quickly pivot and act with agility as dictated by the needs of the business

● You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline