Our mission is to increase the success rate of small businesses. Traditional banking has been a growth limiter rather than a growth enabler for business owners, and we’re changing that. Relay is the all-in-one, collaborative money management platform. We’re building for employer SMBs and their finance function, internal and external, and are focused on delivering a human-centric customer experience. Ultimately, we help SMBs be ‘on the money'.

We’re looking for a Senior Data Scientist to officially start a Data Science function as Relay enters an exciting new chapter of growth. Building on a mature Data Analysis and Data Engineering foundation, you'll spearhead our expansion into predictive analytics and advanced modelling.

This is a unique opportunity to shape the future of small and medium business banking by applying practical and sophisticated data science solutions to real-world problems. As a key player on our rapidly growing Data Team, you'll have the autonomy to set the strategic vision for data science, drive innovation, and see the direct impact of your work on our product and business decisions. If you're ready to push the boundaries of what's possible with data and accelerate your career growth, this role offers the perfect blend of challenge, influence, and opportunity.

Joining Relay, means an opportunity to make a huge impact building solutions with the potential to reach 29 million small businesses across North America. If you thrive on growth and solving real customer problems, we want to hear from you! Relay is a hybrid environment, and we choose to collaborate in our Toronto office twice a week.

What You’ll Be Doing:

Architect our data science function from the ground up, setting the strategic vision to drive data-informed decision making across all parts of Relay
Elevate our experimentation capabilities by designing and implementing robust, statistically sound processes and tooling
Collaborate with our Data Engineering and Growth Engineering teams to introduce advanced methodologies beyond simple A/B testing, driving precise, data-informed product decisions and growth strategies
Be at the forefront of innovation as you help us prepare for a future where predictive, ML-driven decision-making capabilities are diffused throughout the entire organization. Your work will set the foundation for our long-term technological advancement
Drive real-world results by balancing sophistication with practicality. You'll have the autonomy to think long-term, partnering with Data Analysts and Engineers to bring solutions out of proof-of-concept and into production
Influence product direction through close collaboration with Product, Engineering, and Marketing teams. Your data insights will directly shape our product enhancements and strategies, allowing you to see the tangible outcomes of your work
Make your mark on our company's trajectory by providing strategic, data-driven recommendations to leadership. Your insights will directly influence business growth and operational efficiency, giving you a seat at the table in shaping our future
Help cultivate a data-driven culture across the company. You'll have the opportunity to establish best practices, mentor team members, and advocate for data-informed decision making across the organization, leaving a lasting impact on how we operate

What You’ll Bring:

6+ years of experience in Data Science or a related field
Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field. Exceptional candidates with a Bachelor's degree and significant relevant experience may also be considered
Expert-level SQL proficiency, including advanced query optimization, complex aggregations, and a deep understanding of data warehousing concepts and security best practices
Extensive experience designing, implementing, and analyzing complex experimentation frameworks, including A/B/n tests, multi-armed bandits, and quasi-experimental methods
Demonstrated ability to apply advanced statistical techniques to derive actionable insights from experimental data and guide product decisions
Proven ability to drive business decisions from complex data into clear, actionable visualizations and clear insights
Experience working with modern data stack technologies, including cloud-based data warehouses (e.g. Bigquery, Snowflake, Redshift, Clickhouse, etc.) and business intelligence platforms (e.g. Looker, Metabase, Periscope, Mode, etc.)
Mastery of fundamental statistical and machine learning principles, with the discernment to select and apply appropriate methodologies for each unique problem space. Experience spans from rigorous hypothesis testing and causal inference to advanced predictive modeling, always with a focus on interpretability and practical impact
Advanced programming skills in Python and extensive experience with data science libraries (e.g., pandas, scikit-learn, PyTorch). While we primarily use Python, strong R skills are also valuable. Ability to quickly adapt to our Python-centric environment is essential
Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders
Demonstrated ability to lead projects independently and collaborate effectively with cross-functional teams
Adaptability to handle change and uncertainty at times; We are a startup after all!

Bonus Points:

Experience in fintech, banking, or SaaS industries, with deep understanding of key metrics like LTV, CAC, churn, and retention
Familiarity with MLOps practices and tools for model versioning, monitoring, and deployment
Knowledge of privacy-preserving machine learning techniques and experience working with sensitive financial data
Experience with real-time analytics and streaming data processing (e.g., Kafka, Flink, Spark Streaming)
Background in natural language processing (NLP) for applications like sentiment analysis or document classification
Contributions to open-source data science projects or peer-reviewed publications in relevant fields
Experience mentoring junior data scientists and fostering a data-driven culture in fast-growing organizations

Our Commitment To You:

Competitive salary and meaningful equity: every team member gets a piece of the pie
Comprehensive health benefits: we offer full health benefits + an HSA/WSA starting from day 1 so you get the coverage you need
4 weeks vacation + end of year holiday shutdown: we take time off to reset and recharge so we come back better for our customers
Hybrid work environment: we love collaborating and connecting in office two times a week and offer catered lunches and a snack/beverage program for the days we’re in office. Don’t forget to bring in your furry friends!
Personal and professional growth: support from leaders who care about your growth and success through regular feedback and coaching. Our goal is to make Relay a step-change career opportunity
Top-tier equipment: we’re a Mac environment and we’ll make sure you have everything you need to produce your best work
Team-first culture: we’re passionate about working collaboratively, bonding through team events, and most importantly having fun

The Interview Process:

Stage 1: A 30-minute Google Meets video call with a member of the Talent team
Stage 2: A 45-minute Google Meets video call with our Director of Data and Insights
Stage 3: A take-home Data Science case study, followed by a 1-hour interview with members of the Data and Product teams mirroring our Technical Design Document (TDD) review process
Stage 4: A 30-45 minute Google Meets (or in-person) values interview with a non-technical member of the Relay senior leadership team

Research shows that women-identifying and other marginalized individuals tend to only apply when they meet 100% of the qualifications. If you don't have all the listed qualifications, we encourage you to apply anyway, and together we'll figure out if this is the best role for you!

What’s Important to Us:

At Relay, we believe that diversity is key to building high-performing teams, and creating an inclusive work environment is our priority. We are an equal-opportunity employer and we welcome people of diverse backgrounds, perspectives, and skills.

We will work with applicants to provide accommodations at any stage of the hiring process. If you require accommodations during the interview process, please email your People Team contact, and we will work with you to meet your needs.

Apply now

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