{"id":1914791,"url":"https://alion.io/job/wealthsimple-senior-data-scientist-growth-data","title":"Senior Data Scientist, Growth Data","company":{"id":4921,"name":"Wealthsimple","domain":"wealthsimple.com","url":"https://alion.io/company/wealthsimple","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":84,"open_postings":11,"ghost_share":0,"stale_share":0.636,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":{"min":151000,"max":189000,"currency":"CAD","period":"year","gross":null,"usd_annual":132535},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Edge AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-05T14:50:46Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-12T02:37:55Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Build something people love\nWealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.\nWe're proud of what we've built - and we're just getting started. Read our Culture Manual and learn more about how we work.\nThe Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers and is responsible for enabling data-driven decision making and building data products at Wealthsimple.\nThe Growth Data focuses on driving new user acquisition and net deposit targets through marketing efforts including paid, organic, and branding initiatives. Our team is structured around key domain areas including promotions, referral and social sharing, paid marketing, and organic/upper funnel marketing measurement. We work closely with cross-functional partners in Growth, Product, and Engineering to optimize our marketing investments and scale Wealthsimple's customer base.\nThe Growth Data team plays a critical role in enabling data-driven decision making across all marketing channels. We're looking for a Senior Data Scientist who will serve as a domain expert for one of our key marketing pillars, driving optimization through sophisticated algorithms, measurement systems, and strategic insights that influence millions of dollars in marketing spend.\nIn this role, you'll be the DRI (Directly Responsible Individual) for your domain area, building data products and analytics solutions that directly impact business outcomes. You'll work on challenging problems ranging from marketing optimization algorithms to attribution modeling, experimentation, and strategic measurement. You'll collaborate closely with marketing stakeholders to understand business needs and translate them into technical solutions, while also partnering with data engineers and other data scientists on shared infrastructure.\nThis is a full-stack data science role where you'll wear many hats: algorithm developer, measurement strategist, analyst, experimenter, and business partner. We're looking for someone who can hit the ground running with strong marketing analytics expertise and contribute to strategic direction from day one.\nIn this role, you will have the opportunity to:\nBuild data products and algorithms that optimize marketing performance-including budget allocation, targeting strategies, and campaign optimization across multiple channels\n\nDesign and implement measurement strategies for marketing initiatives, including attribution modeling, incrementality analysis, and multi-touch attribution\n\nDrive marketing strategy through data insights, A/B testing, and causal inference methodologies to maximize ROI on marketing spend\n\nDevelop and maintain analytics pipelines and data infrastructure, working collaboratively with data engineers and other data scientists\n\nConduct exploratory analysis to identify growth opportunities, understand customer behaviour, and optimize marketing tactics\n\nProvide business-as-usual analytics support including reporting, dashboards, and ad-hoc analysis for marketing stakeholders\n\nLeverage AI tooling to handle operational tasks efficiently and focus your expertise on high-impact strategic problems\n\nPartner with ad platforms (Google, Meta, etc.) and internal engineering teams to ensure robust tracking, data integration, and measurement capabilities\n\nTake ownership and ship it-continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend\n\nWork where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)\n\nSkills we are looking for:\nUnderstanding of digital marketing mechanics including attribution, ad platforms, tracking, and conversion optimization\n\nExperience working with lifecycle data, understands various of ways of reaching out to new/existing customers and how they fit together holistically\n\nStrong technical skills in Python and SQL with experience building production-quality code\n\nProven track record in algorithm development, optimization problems, or building data-driven decision systems\n\nStrong foundation in causal inference, A/B testing, and experimental design\n\nExcellent communication skills and ability to translate complex technical concepts for non-technical stakeholders\n\nDemonstrated ownership as the data DRI on complex projects end to end, with proactive understanding of business context and how cross-functional teams build systems together\n\nWe are looking for someone who:\nCan use AI effectively to increase efficiency and depth of the work, while still providing the strategic guidance and critical thinking\n\nHas full-stack data science experience, comfortable with everything from dashboards and reporting to sophisticated algorithm development\n\nCan contribute to strategic direction in marketing analytics from day one with minimal ramp-up time\n\nThrives in a collaborative, multi-faceted environment with ongoing alignment across stakeholders and data team members\n\nIs passionate about measurement and understanding what drives business outcomes, navigating the complexities of attribution and incrementality\n\nIdeally has worked at larger-scale tech companies that develop internal analytics and optimization systems\n\nAdjusts quickly to changing priorities and effectively manages complexity in a fast-paced growth environment\n\nValues simplicity and pragmatism, knows when to build sophisticated solutions and when a simpler approach will suffice\n\nIs eager to teach and learn. We value making each other successful!\n\nIs a lifelong learner who's constantly seeking feedback to continue improving their craft\n\nWhy you'll love this role:\nHigh visibility, high impact: Your work directly affects Wealthsimple's growth bottom line and influences strategic marketing decisions\n\nDiverse technical challenges: Develop expertise across measurement, A/B testing, causal inference, machine learning, and algorithm development\n\nIn-demand skill set: Build valuable skills in marketing analytics and optimization that are highly sought after in the tech market\n\nStrategic domain ownership: Own a key pillar of Wealthsimple's growth strategy and build deep expertise in a lasting problem space\n\nAI-enabled efficiency: Leverage cutting-edge AI tooling to amplify your impact and focus on the most strategic challenges\n\nWhy Wealthsimple?\nTop-tier health benefits and life insurance\nLong-term group savings with employer match, through Wealthsimple for Business\n20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*\n90 days away: work outside Canada for up to 90 days per year*\nEmployee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS\nWe are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.\n*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.\nICYMI\nTechnology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work - whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.\nInclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.\nAccessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know - we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.\nAI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment - all final hiring decisions are made by people. 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