Senior Data Scientist, Revenue Operations

Purpose Unlimitedis 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 Unlimiteds businesses include Purpose Investments Advisor Solutions by Purpose and Status: This is for a current vacancy Compensation: $180000 - $200000 annual salary Revenue 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 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. Youre an engineer and youll work closely with data engineers analysts and software engineers so what you build is reliable and : We useObject Process Modeling (OPM) for system mapping andFigures-of-merit (FOMs) as the measurement layer. You dont need to be a process mapping academic but you do need to think in systems and enjoy turning ambiguity into a measurable operating : What you will do Work with product other engineers and subject matter experts to map the revenue system (funnels handoffs feedback loops) and identify bottlenecks and leverage 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 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 impact with rigor: experiments causal inference and incrementality measurement when attribution is decision tools (dashboards monitoring alerting web-apps) and productionize systems with other engineers (data software analytics).Qualifications: What you will bring Have a degree in a quantitative field (BSc MSc or PhD in science or engineering) andhave experience in highly quantitative in systems and enjoy turning messy reality into a model you can test monitor and strong inPython and SQL and can own work end-to-end from raw data to deployed 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 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 could be an especially great fit ifYouve been early on a team and enjoy building the measurement and modeling foundations from move fast without breaking things that matter and youre comfortable owning ambiguous problems the kind of teammate who makes cross-functional work feel easy: crisp updates clear explanations no genuinely excited about data technology and AI and you bring taste and discipline to how it gets 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 like going from system map metrics model shipped workflow and you care that it actually changes how the team problemsWhat is our true funnel based on behavior and handoffs and where is the constraintWhich motions create incremental pipeline and funded outcomes (not just correlated activity)How should we prioritize leads and opportunities under capacity constraintsWhich unstructured signals predict conversion and retention and how do we turn them into reliable featuresWhy should you join usWe are one of Canadas Top Small & Medium Employers 2023 & believe in innovation and a vibrant culture- work for an innovative people-first financial services firm that values believe in a flexible work structure A flexible hybrid work model that empowers you to do your best work whether at home or the care about your rewards- Competitive compensation including equity 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 care about your quality of life- flexible paid time-off policy with unlimited vacation days and flexible sick and mental health care about your family- Paid parental leave for eligible employees with a care about your futureGenerous Group RRSP matching and an optional TFSA care about your development We offer training opportunities and tuition support Unlimitedis 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 We thank all applicants for their interest; however only those selected for interviews will be work philosophy is a hybrid model allowing for flexibility and must be legally entitled to work in Canada. Immigration sponsorship is not offered for this 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.