Senior Data Scientist
About The Position
Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth. Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid/ remote candidates based in the United States. We’re looking for an experienced applied Senior Data Scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI 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, and insightful in your analytical approach. You are adept at leveraging ML cloud platforms like Databricks and AWS to train, document and deploy ML and AI models that operate at large scale and impact millions of bank consumers. You are diligent about the highest standards in the model and software development lifecycle. You proactively communicate with non-technical stakeholders to translate business context into technical solutions.
Requirements
- 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.
- Can 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
Nice To Haves
- Experience in reinforcement learning and multi-armed bandit applications is highly preferred.
- Demonstrated experience in Databricks (highly preferred) or other cloud platform.
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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
