Senior Data Scientist delivering insights tying data to strategic execution for Workday's AI platform. Partnering with teams to analyze product adoption and optimize customer experience.
About the role
- Data Science Manager at Instacart leading a data science team to optimize consumer app experiences. Focusing on analytics and experimentation across critical shopper surfaces.
Responsibilities
- Lead, mentor, and grow a high-performing team of data scientists; set clear priorities, uphold technical excellence, and develop career paths.
- Define and own the analytics and experimentation strategy across storefront, browse/aisles, search, cart, checkout, OSP, Family, Lists, and Meals/Health—covering metrics, guardrails, instrumentation, and experiment best practices.
- Own core shopping metrics and event logging; improve data quality, build reusable dashboards/tools, and ensure reliable, timely insights for decision-making.
- Drive “DS understand projects” that uncover friction in shopping funnels; scope root-cause analyses and partner with PM and Eng to prioritize and ship fixes that move conversion and retention.
- Partner as a thought leader with Product and Engineering leadership to shape roadmaps, make tradeoffs across Enterprise, Lifecycle, Category Growth, and Foundations work, and ensure goals are measurable and achievable.
- Set the bar for experiment design and readouts; coach teams on hypothesis formation, sampling, power analysis, metric selection, and clear storytelling of results and implications.
- Collaborate with ML partners on ranking, recommendations, and personalization initiatives, aligning offline/online evaluation with business outcomes and shopper experience goals.
- Influence and improve cross-functional rituals (e.g., experiment reviews, prioritization forums) to increase speed, rigor, and learning across the organization.
- Ensure AI/agentic features are grounded in robust data and measurement frameworks, with clear definitions of success and long-term impact.
Requirements
- 6+ years of experience in data science or analytics, including 2+ years directly managing or tech-leading a data science team in a fast-moving environment.
- Proven track record optimizing consumer app experiences at scale (e.g., funnels, ranking, personalization, experimentation) in technology or similar product-led organizations.
- Deep hands-on expertise in experimentation and measurement, including A/B testing, guardrails, metrics design, and logging/event instrumentation.
- Strong analytical and technical skills with proficiency in SQL and Python or R.
- Experience translating ambiguous customer and retailer problems into clear metrics, analyses, and experiment roadmaps that drive measurable outcomes.
- Demonstrated cross-functional leadership with Product, Engineering, Design, and Operations; able to influence roadmaps and drive alignment without formal authority.
- Track record as a data quality champion—improving instrumentation, building reusable dashboards/tools, and advocating for rigorous yet pragmatic decisions.
- Excellent communication and storytelling skills; able to explain complex tradeoffs and experiment results to non-technical partners and senior stakeholders.
Benefits
- Offers may vary based on many factors, such as candidate experience and skills required for the role.
- Eligible for a new hire equity grant as well as annual refresh grants.
- Health benefits and flexible work arrangements.
- Professional development opportunities.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data & Trust Manager at TELUS providing guidance on data ethics and governance. Collaborating with business units to ensure data, privacy, and AI initiatives adhere to ethical standards and regulations.
Data Intelligence Lead at TELUS Health shaping CRM best practices and driving AI adoption. Focused on enhancing business performance through data insights and process automation.
LP
Senior Data Scientist
LinkedIn Recruiter Post
Senior Data Scientist needed for hybrid role in Toronto/Vancouver. Must have Python, ML, DL, NLP, GenAI, and cloud skills.
Data Scientist II designing and deploying analytics solutions across cloud platforms for TD. Collaborating with business stakeholders to transform large - scale data into actionable insights.
Principal Data Scientist leading AI innovation for network management at Extreme. Driving long - term data science and ML strategy in a greenfield opportunity.
Senior Data Scientist specializing in deep learning for computer vision at Zesty.ai. Collaborating on PropertyTech and InsurTech solutions using data science and machine learning.
Geodata Scientist at ALS analyzing geoscience data and applying machine learning for mineral exploration. Collaborating with multidisciplinary teams on predictive modelling and consulting projects.
Senior Data Scientist leading advanced analytics and machine learning solutions within insurance practice. Bridging business objectives and data science execution while ensuring delivery quality.
Senior Data & Trust Partner at TELUS enhancing data governance and AI capabilities. Collaborating with leadership to implement trust strategies and improve organizational design.