JobsBusiness IntelligenceData Scientist en chef, Croissance
Shakepay

Shakepay

·

Business Intelligence

Data Scientist en chef, Croissance

RemoteLeadPosted Aug 17, 2026
PythonSQLSnowflakedbtPosthogStatsigAmplitudeMachine learning+12 more

About this role

Lead data scientist driving growth analytics at Shakepay, a Canadian fintech focused on Bitcoin-based financial services. You'll own experimentation frameworks, causal inference, and cross-functional growth strategy for 1.5M+ users.

Must have

8+ years experience in data science, growth analytics, or experimentation roles

Strong mastery of SQL and Python

Deep understanding of experimentation, causal inference, statistical analysis, forecasting, and KPI design

Strong product and business intuition with ability to link user behavior to business outcomes

Cross-functional experience working with marketing, finance, operations, or product teams

Comfortable operating autonomously and driving ambiguous projects from idea to execution

Strong communication skills and ability to influence decisions through data and clear reasoning

Proven ability to manage and deliver multiple projects with high attention to detail

Curiosity, speed, and bias for action in fast-paced environments

Solid understanding of dashboard and data visualization tools

Technologies

PythonSQLMachine learningSnowflakeData analyticsGrowthdbtStatisticsPosthogStatsigAmplitudeCausal inferenceForecastingExperimentationDashboardBitcoinA/B testingFintechData visualizationSegmentation

Responsibilities

Work closely with engineers and designers on product teams to improve acquisition, activation, retention, monetization, and customer experience

Collaborate with marketing, finance, and operations teams to discover growth opportunities and make better business decisions

Support and promote experimentation and decision frameworks to launch products and iterate quickly with confidence

Define KPIs and success metrics that help teams stay aligned on measurable outcomes

Use statistical analysis, forecasting, causal inference, and machine learning techniques to understand user behavior and business performance

Proactively identify high-impact opportunities through deep analysis of user journeys, lifecycle behavior, conversion funnels, and financial performance

Help shape team and company priorities by bringing data-driven perspectives on impact, trade-offs, and ROI

Build dashboards, models, and self-serve tools that improve visibility of growth and business performance across the organization

Collaborate with the broader data team to maintain a shared and consistent data layer serving stakeholders and internal agents

Foster a culture of experimentation, curiosity, and evidence-based decision making across Shakepay

Benefits

Health insuranceDental insuranceWellness platform with incentivesPaid vacationParental leaveEducation assistanceStock optionsRemote workTeam eventsAnnual salary reviews

Amenities

Work from anywhere in Canada with optional office access in Montreal and Toronto$2,000 annual budget for courses, certifications, and training20 vacation days per year with $1,000 bonus if all vacation days usedQuarterly team or company outings for in-person connection

Recruitment process

1

Shakepay is a Canadian fintech helping Canadians build long-term wealth through Bitcoin since 2015

2

Over 1.5 million Canadians use Shakepay for daily financial products including card, direct deposit, bill pay, and Interac e-Transfer

3

Regulated as a securities dealer across all Canadian provinces and territories with $44M in venture funding

4

Role involves high autonomy and transforming ambiguous problems into measurable impact

5

English proficiency required due to percentage of English-speaking customers and platform accessibility

6

AI tools used to support parts of the hiring process including scheduling, application review, and interview summaries

7

Candidates encouraged to apply even if they do not meet all criteria