Senior Data Scientist, Revenue Operations

Senior Data Scientist, Revenue OperationsToronto, ON, CanadaJob DescriptionPosted Friday, January 23, 2026 at 5:00 AMPurpose Unlimited is an independent financial services company with an unrelenting focus on customer-centric innovation, delivered through technology-driven solutions. Led by entrepreneur Som Seif, the company is developing a diversified product platform aimed at addressing historically underserved segments of the market. Purpose Unlimited’s businesses include Purpose Investments, Advisor Solutions by Purpose, and Driven.Vacancy Status: This is for a current vacancyCompensation: $180,000 - $200,000 annual salaryRevenue is a system. You will be one of the early data science hires embedded in Revenue Ops, focused on Sales and Marketing problems across the full funnel. You will design models, measurement, and data products that help leadership make decisions with fewer opinions and more evidence.You’ll map how revenue operations work end-to-end, translate that into a small set of metrics that steer behavior, and build quantitative models and measurement that drive better decisions. You’re an engineer, and you’ll work closely with data engineers, analysts, and software engineers so what you build is reliable and production-ready.Note: We use Object Process Modeling (OPM) for system mapping and Figures-of-merit (FOMs) as the measurement layer. You don’t need to be a process mapping academic, but you do need to think in systems and enjoy turning ambiguity into a measurable operating model.Responsibilities: What you will doWork with product, other engineers and subject matter experts to map the revenue system (funnels, handoffs, feedback loops) and identify bottlenecks and leverage points.Define and operationalize FOMs that connect activity to outcomes (ex. conversion, velocity, cycle time, capacity utilization, channel efficiency).Build models that change outcomes: propensity and scoring, segmentation, time-to-event, anomaly detection, forecasting inputs.Apply AI where it creates lift: turn unstructured signals (notes, emails, transcripts) into inputs, build retrieval + classification for “what happened and why,” and automate recurring analysis with guardrails.Measure impact with rigor: experiments, causal inference, and incrementality measurement when attribution is misleading.Ship decision tools (dashboards, monitoring, alerting, web-apps) and productionize systems with other engineers (data, software, analytics).Qualifications: What you will bringHave a degree in a quantitative field (BSc, MSc, or PhD in science or engineering) and have experience in highly quantitative roles.Think in systems and enjoy turning messy reality into a model you can test, monitor, and improve.Are strong in Python and SQL, and can own work end-to-end from raw data to deployed software.Have built and evaluated predictive models in production-like settings (classification/ranking, calibration, thresholding, cost-sensitive decisions, decision algorithms, system dynamics).Can measure impact with discipline, using experiments and causal methods (matching/propensity, doubly robust estimators, diff-in-diff, strong quasi-experiments).Can apply modern AI thoughtfully, and you know how to evaluate it (offline metrics, calibration, drift, and measured impact on outcomes).Have worked with messy operational data (CRM, marketing automation, web analytics, call/meeting signals) and made it trustworthy.Are an engineer and work naturally with data engineers and software engineers to ship durable outputs (pipelines, scoring, monitoring).Communicate clearly, including uncertainty and trade-offs, and you have a high bar for accuracy.You could be an especially great fit ifYou’ve been early on a team and enjoy building the measurement and modeling foundations from scratch.You move fast without breaking things that matter, and you’re comfortable owning ambiguous problems end-to-end.You’re the kind of teammate who makes cross-functional work feel easy: crisp updates, clear explanations, no surprises.You’re genuinely excited about data, technology and AI, and you bring taste and discipline to how it gets applied.You think from first principles: start with the real operational flow and user needs, then design metrics, models, and tools that fit reality rather than forcing reality to fit a template.You like going from system map → metrics → model → shipped workflow, and you care that it actually changes how the team operates.What is our true funnel based on behavior and handoffs, and where is the constraint?Which motions create incremental pipeline and funded outcomes (not just correlated activity)?How should we prioritize leads and opportunities under capacity constraints?Which unstructured signals predict conversion and retention, and how do we turn them into reliable features?We believe in innovation and a vibrant culture- work for an innovative, people-first, financial services firm that values entrepreneurialism.We believe in a flexible work structure– A flexible hybrid work model that empowers you to do your best work whether at home or the office.We care about your rewards- Competitive compensation including equity program.We care about your health– comprehensive group health and dental benefits and life insurance at little to no cost to you. We also offer a Lifestyle Spending Account for all your wellness needs.We care about your quality of life- flexible paid time-off policy with unlimited vacation days, and flexible sick and mental health days.We care about your family- Paid parental leave for eligible employees with a top-up.We care about your future– Generous Group RRSP matching and an optional TFSA program.We care about your development– We offer training opportunities and tuition support year-round.Purpose Unlimited is an equal employer and we are dedicated to fostering an inclusive and barrier-free work environment for all employees and candidates. We encourage all qualified candidates to apply and if accommodation is required during any stage of the recruitment process, please contact any member of the People & Culture team at PeopleCultureTeam@purpose-unlimited.com . We thank all applicants for their interest; however, only those selected for interviews will be contacted.Our work philosophy is a hybrid model allowing for flexibility and collaboration. Applicants must be legally entitled to work in Canada. Immigration sponsorship is not offered for this role.We may use artificial intelligence technology to assist in screening, assessing, or selecting applicants for this position. Final hiring decisions are made by qualified human reviewers. #J-18808-Ljbffr