Senior Data Scientist - US

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights.

With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market.

Curinos is operating under hybrid modality, with the ideal candidate located near one of our regional hubs ( New York, Chicago, Boston ) and able to travel to an office as needed for working sessions or team meetings.

Job Description

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

Base Salary Range : $110,000 - $160,000 (plus bonus)

Desired Skills & Expertise

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

Why work at Curinos?

• 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!
• Competitive annual leave, 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

Applying :

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements.

If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!

If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.

com and we’ll do everything we can to help.

Inclusivity at Curinos :

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed.

As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.