Job DescriptionData Scientist
IIWe have an opportunity for a Data Scientist to join our Business Strategy team in Burnaby, Canada, reporting to the Director, Business Strategy. In this pivotal role, you will turn complex business questions into clear, data-driven insights and decision frameworks that shape Infoblox's company strategy, growth programs, and executive operating rhythms. Collaborating closely with Business Strategy, Finance, Product, Go-to-Market, and Data & AI teams, you will build forecasting models, customer lifecycle analytics, and AI-powered decision support that help leaders make faster, higher-confidence decisions on where and how to invest.
Be a Contributor - What You'll Do - Translate executive and strategy questions into structured analytical problems, hypotheses, and measurable success metrics tied to Infoblox's strategic pillars, strategic programs, annual objectives and key results
- Build, validate, and maintain statistical and machine learning models (e.g., churn and upsell propensity, pipeline health, segmentation, etc.) to inform planning and portfolio choices
- Create scenario planning, sensitivity, and what-if analysis frameworks that help leaders evaluate trade-offs across revenue growth, margin, investment, and risk
- Design and operationalize KPI definitions, metric hierarchies, and data quality checks in partnership with domain data owners to ensure a single source of truth for executive and board-level reporting
- Partner with data engineering and analytics teams to shape semantic models, data products, and feature stores that enable robust, reusable decision science assets
- Use AI and GenAI tools (e.g., AI-assisted coding, GenAI copilots, RAG-based knowledge search) to accelerate analysis, automate recurring workflows, and build decision-support prototypes, following Infoblox's responsible AI guardrails
- Design and analyze experiments (A/B tests, pilots, quasi-experiments) with Product, Marketing, and Sales to quantify the impact of strategic initiatives
- Develop clear, executive-ready narratives, visualizations, and recommendations that connect advanced analytics to business implications and concrete actions for Infoblox leadership
- Champion data literacy and AI adoption across the Business Strategy organization by sharing reusable assets, playbooks, and training on decision science and AI-powered decision support
Be Prepared - What You Bring - 5-8 years of experience in data science, decision science, or advanced analytics with a focus on business strategy, finance, product, or go-to-market problems in B2B technology or SaaS environments (or equivalent combination of education and experience)
- Demonstrated expertise with statistical modeling and machine learning techniques relevant to strategy and planning (e.g., time series forecasting, regression, classification, clustering, scenario simulation)
- Strong hands-on skills in Python or R for data science, plus proficiency with SQL for querying large, complex datasets; familiarity with modern analytics and ML platforms (e.g., Databricks or comparable unified analytics/ML environments)
- Experience working with business and financial data (e.g., bookings, pipeline, revenue, unit economics, customer cohorts) and partnering with Finance or Strategy teams on planning, forecasting, or portfolio analysis
- Comfort using AI and GenAI tools as productivity multipliers, with understanding of responsible AI practices (data privacy, bias, human-in-the-loop, governance)
- Proven ability to translate analytical findings into clear, compelling narratives and executive-ready presentations that drive alignment and action across cross-functional stakeholders
- Experience collaborating in product-led or agile environments with data engineers, BI developers, and business owners to define requirements, iterate on solutions, and measure realized impact
- Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, Computer Science, Data Science, Operations Research, or related); advanced degree (MS, MBA with strong quant focus) preferred but not required
- Strong stakeholder management, communication, and storytelling skills with the ability to manage competing priorities and influence senior leaders without direct authority
Be Successful - Your Path First 90 Days: Immerse in our culture, connect with mentors (Blox Buddies), and map the systems and meet with key stakeholders that rely on your work. Discuss and create short/long term goals.
Six Months: - Establish a trusted partnership with Business Strategy, Finance, and Product leaders as a go-to thought partner on at least two priority strategic initiatives
- Deliver at least one end-to-end forecasting or propensity modeling solution actively used in a recurring planning or performance review cadence
- Co-create and help operationalize a governed KPI set for at least one strategic domain, integrated into the semantic layer and executive dashboards
- Prototype and launch at least one AI-assisted decision support workflow for the Business Strategy team, such as automated insight summaries or scenario exploration tools
- Contribute to the Business Strategy Data team's roadmap and intake process by defining value hypotheses, prioritization criteria, and success measures for high-impact analytics and AI initiatives
One Year: - Own a portfolio of decision science solutions embedded in ELT and cross-functional operating rhythms (AOP, QBRs, board reporting), measurably improving decision speed and quality
- Help reduce forecast error and improve planning accuracy on top strategic metrics (e.g., bookings, pipeline, churn, product adoption) in line with multi-year team objectives
- Lead the analytical design for at least two cross-functional experiments or pilots (e.g., pricing, packaging, growth programs) and translate results into clear recommendations that influence investment decisions
- Serve as a key contributor to AI adoption within the Office of the President, shaping best practices for responsible AI use in strategy and mentoring peers on data science and AI capabilities
- Partner with data, IT, and security teams to inform the evolution of Infoblox's modern data and AI platform so it better supports decision intelligence, self-serve analytics, and governed AI use across strategic domains
Belong - Your Community Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you'll grow and belong here.
Be Rewarded - Benefits That Help You Grow, Thrive, Belong - Comprehensive health coverage, generous PTO, and flexible work options
- Learning opportunities, career-mobility programs, and leadership workshops
- Sixteen paid volunteer hours each year, global employee resource groups, and a "No Jerks" policy that keeps collaboration healthy
- Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations
- Charitable Giving Program supported by Company Match
- We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: CAD 99,000 - 145,000 plus bonus
Ready to Be the Difference? #LI-Hybrid
#LI-HK1
