• Build and evaluate classification or regression models using Python and standard ML libraries • Engineer features from claims, clinical, or operational datasets • Clean, transform, and profile datasets; document data-quality findings and assumptions • Write SQL against relational databases to extract and shape analytical inputs • Build lightweight APIs or endpoints to surface model outputs (e.g., FastAPI) • Contribute to version-controlled, reproducible workflows using Git • Document pipelines so teammates can extend and audit your work • Assist with experiments at the intersection of ML and healthcare workflows

Role Description We are seeking a detail-oriented and proactive Operations Specialist to support and optimize our day-to-day business operations. The ideal candidate will play a key role in improving processes, enhancing efficiency, and ensuring smooth coordination across departments. - Monitor and manage daily operational activities to ensure efficiency and quality standards - Analyze operational processes and identify areas for improvement - Coordinate with cross-functional teams including Product, Development, and Customer Support - Track KPIs and prepare regular performance reports for management - Assist in implementing new systems, tools, and workflows - Handle operational issues and provide timely resolutions - Maintain accurate documentation of processes and procedures - Support project execution and ensure deadlines are met Qualifications - Bachelor’s degree in Business Administration, Operations Management, or a related field - 2–4 years of experience in operations, preferably within a tech or software environment - Strong analytical and problem-solving skills - Excellent organizational and time management abilities - Strong communication and interpersonal skills - Proficiency in Microsoft Office and/or Google Workspace tools - Familiarity with project management tools (e.g., Jira, Trello, Asana) is a plus - Ability to work in a fast-paced and dynamic environment Benefits - Competitive salary and benefits package - Professional growth and development opportunities - Collaborative and supportive work environment - Opportunity to be part of a growing and innovative company

Senior Data Scientist I Location: Toronto, ON Full time Hybrid Department - Engineering Data Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money—bringing clarity, confidence, and control to every dollar earned, so they can turn hard work into lasting success. We do this by replacing financial guesswork with real visibility, transforming cash flow from a constant source of stress into a clear signal owners can use to run stronger, more resilient businesses We're looking for a Senior Data Scientist to join our high-impact Data team. In this role you'll be responsible for elevating Relay's data capabilities — building predictive models, supporting experimentation across the organization, and helping the business make smarter, faster decisions. You will be a key strategic partner sitting at the intersection of data engineering and business intelligence, translating complex business questions into rigorous, actionable insights that move the needle across GTM, Sales, Finance, and Product. Please note that we are a hybrid environment and choose to collaborate in the office three days a week (Tuesday–Thursday) What You'll Be Doing - Own predictive modelling work across critical business domains — including customer lifetime value (LTV), churn, retention, and early-signal customer quality assessment - Support the rollout of Relay's experiment infrastructure to teams across the org, establishing rigorous A/B testing standards and helping the org make confident, data-driven decisions - Partner closely with GTM, Sales, Finance, and Product to translate ambiguous business questions into well-framed analytical problems with measurable outcomes - Define and improve core metric definitions so the business is working from a consistent, trustworthy foundation - Deliver stakeholder-facing insights and presentations that tell a compelling story through data — not just surface numbers, but explain what they mean and what to do next - Contribute to roadmap planning and influence prioritization decisions across the data team and cross-functional partners - Mentor junior data scientists and raise the bar for business-aligned, high-impact data science across the team Who You Are - You have hands-on experience building and deploying predictive models (e.g., LTV, churn, lead scoring) and can walk through your methodology and the business impact it drove - You're deeply comfortable with SQL and Python, and can use them appropriately to run statistical analyses and solve complex problems - You bring strong business instincts — you understand why a metric matters, not just how to compute it, and you're energized by solving real stakeholder problems - You have experience with A/B testing and experimentation, can design experiments from first principles, and can communicate results in a way that's digestible to non-technical audiences - You thrive in ambiguous, fast-moving environments and have a track record of ramping quickly into new domains and delivering value within weeks, not months - You're a clear, confident communicator who can bridge the gap between technical work and business decisions — written, verbal, and visual - Familiarity with Snowflake and dbt is a strong plus; comfort working within a modern analytics stack is expected The Interview Process - Stage 1: A 45-minute Google Meet video call with a member of the People Team - Stage 2: A 60-minute Google Meet video call with the Hiring Manager - Stage 3: A 45-minute in-person interview with a member of our Leadership team - Stage 4: A take-home case study, followed by a 60-minute Google Meet video call with members of our Data team. Our Compensation Approach We believe Relayers should feel rewarded for the impact they have on our mission and growth. Compensation follows impact. As impact increases, compensation grows, and we do not limit compensation changes to a once-a-year review cycle. The annual salary range for this role is $133,200 - $162,800 For candidates who demonstrate full readiness for the defined scope of the role, the typical starting salary is $148,000. Offers below this point reflect candidates we believe can grow into the full scope of the role with support and development. Offers above this point reflect impact that meaningfully exceeds the role’s defined expectations or an expanded scope from day one. We encourage you to have a conversation with your recruiter and ask questions about compensation throughout the hiring process. For more information on our compensation philosophy and perks and benefits, visit our Candidate Hub. Why Relay Might Be the Perfect Fit For You - You push relentlessly for reinvention: You're always asking "how can this be better?" -- in your work, in your craft, in yourself. Comfort is a signal to push harder, not coast. You'd rather build something better than defend something familiar. - You crave autonomy: We trust our team with big challenges and the freedom to solve them. If you’re someone who takes initiative, is comfortable taking risks, and seeks input when needed, you’ll find the freedom here empowering. - You own your work: You take pride in your work, follow through on commitments, and feel a deep sense of responsibility for outcomes, not just tasks. - You build with AI, not just use it: You're actively embedding AI into how you work, pushing what's possible, and bringing your team along with you. - You care about impact, not noise: You care deeply about the substance of your work. You measure success by results, not recognition, and you let your work speak for itself. - You’re energized by complexity and ambiguity: You enjoy tackling problems that don’t come with a playbook. You’re comfortable building from scratch, iterating as you go, and collaborating to shape the best path forward. - You seek out feedback: You see directness as respect, not criticism. You actively seek input, sit with hard truths, and use feedback as fuel for improvement. - Small businesses are why we're here: Relay exists to help them thrive -- and that mission has to resonate with you. Join Us We're looking for people who are relentless, curious, and care deeply about the work. You're encouraged to apply even if your experience doesn't perfectly match the job description -- your perspective and drive matter more. We welcome diverse backgrounds and people who think critically, challenge the status quo, and want to help small businesses thrive. If you require accommodations at any stage of the hiring process, please reach out to your Talent Partner. Disclaimer: For compliance reasons, all offers of employment at Relay are conditional upon a successful background check and employment verification through Certn.

• Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Time Series Forecasting models to solve complex enterprise business and planning challenges. • Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialized enterprise data tasks. • Design and integrate Conversational AI and autonomous Agentic AI workflows to create intuitive experiences that can independently execute complex planning tasks. • Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems. • Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning.