TL;DR

Senior Data Scientist (Fintech): Building and productionizing machine learning models for data-driven financial valuations with an accent on experimental design, predictive modelling, and robust ML pipelines. Focus on translating experimental results into products and ensuring models are well tested, documented, and maintained.

Location: Remote from Canada, with a remote-first team operating coast to coast in North America.

Company

%hirify_global% is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money using smart, transparent, and low-cost technology.

What you will do

Build and productionize machine learning models from conception to deployment.
Design and execute product experiments to improve client experience.
Collaborate with cross-functional teams across Growth, Product, Marketing, and Engineering.
Translate experimental results into products and spearhead data modelling strategy.
Ensure models are well tested, documented, and maintained for reliability.
Take ownership, release incrementally, and iterate on solutions.

Requirements

Deep experience in building end-to-end productionized machine learning pipelines.
Deep experience in complex experimental design (A/B tests, factorial design).
Strong technical skills in coding (SQL & Python) and statistical methods.
Comfortable with data modelling and software engineering best practices such as dbt, unit testing, and version control.
Extensive experience with machine learning feature engineering.
Ability to build and maintain multi-functional relationships across various teams.
English: B2 required.

Nice to have

Experience working in the risk management domain.

Culture & Benefits

Competitive salary with top-tier health benefits and life insurance.
Retirement savings matching plan using %hirify_global% for Business.
20 vacation days per year and unlimited sick and mental health days.
Up to $1,500 annually towards wellness and professional development budgets.
90 days away program, allowing employees to work internationally in eligible countries.
Access to a wide variety of peer and company-led Employee Resource Groups.
Allocated Wellness Days throughout the year.