[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. Curinos empowers financial institutions to put customers at the center of every decision. They are seeking an experienced Senior Data Scientist to join their Data Science & Machine Learning Team, focusing on applying data science, machine learning, and AI to optimize banking customer engagement through their FinTech product platforms.

Responsibilities

• Explore, train, test, and deploy ML and AI models, within the model risk standards required by the banking industry, including model bias, disparate impact, AI guardrails, privacy controls, and ongoing monitoring
• Own end-to-end model validation including sample adequacy, out-of-time testing, and reproducibility checks before sign-off
• Extend, and deploy our Reinforcement Learning-based marketing optimization capabilities while following our quality standards for model deployment and monitoring
• Contribute to and uphold team code development standards (version control, code review, documentation)
• Collaborate with business partners to translate business context into technical solutions embedded in our SaaS products at large scale
• Proactively explore available data to size and project opportunities to improve our products, services or client and consumer experience

Skills

• 5+ years' experience and a demonstrable track record of delivering applied machine learning, AI, data science capabilities in consumer-facing and/or enterprise applications
• Independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models in large scale SaaS applications
• Demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, deep learning, AI techniques
• Strong working knowledge of Python-based machine learning and AI frameworks and the data and computation management mechanisms that surround them in a cloud setting
• Familiarity with software engineering practices: Git branching strategies, code review, CI/CD pipelines
• Exceptional communication and interpersonal skills that let you easily adapt to the context of your audience, from deep science to business decision-makers
• Ability to quickly pivot and act with agility as dictated by the needs of the business
• Hold an advanced degree or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline
• Experience in reinforcement learning and multi-armed bandit applications
• Demonstrated experience in Databricks or other cloud platform

Benefits

• Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from
• Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!
• Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday
• Learning and development tools to assist with your career development
• Work with industry leading Subject Matter Experts and specialist products
• Regular social events and networking opportunities
• Collaborative, supportive culture, including an active DE&I program
• Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services

Company Overview

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