Lead end-to-end analytics for growth marketing, design experiments, build scalable analytical solutions, and raise the bar for Thumbtack’s data culture.
Compensation
For candidates living in Ontario and British Columbia, the expected total cash compensation (base salary + variable pay, if applicable) range for this role is currently $168,300.00 - $217,800.00.
Responsibilities
Own end-to-end analytics for growth marketing, partnering with Marketing, Finance, and external partners to understand user behavior, define target audiences, measure campaign performance, and forecast and allocate budgets.
Translate ambiguous business questions into rigorous analyses and clear recommendations that improve individual campaign performance and optimize the overall marketing channel mix.
Design, execute, and interpret experiments and quasi-experiments to enable causal inference and inform high-stakes marketing investment decisions.
Partner closely with MarTech, Product Management, and Engineering to scope, build, and evaluate new capabilities such as developing local market intelligence framework and improvements to customer LTV bidding systems.
Develop deep domain expertise in growth marketing measurement, experimentation, customer segmentation, and targeting optimization, and apply that expertise to influence strategy and execution.
Requirements
Bachelor’s degree in statistics, mathematics, data science, economics, or a related quantitative field
Senior data scientist responsible for advanced analytics, machine learning, and data-driven decision support within the Treasury Board & Finance ministry.
Compensation
$3,148.20 to $4,126.82 bi-weekly ($82,168 - $107,710/year)
Responsibilities
Analyze large, complex structured and unstructured datasets to identify trends, patterns, and actionable insights
Perform exploratory data analysis (EDA) and feature engineering to support modeling efforts
Design and implement data cleaning, transformation and processing logic for analytical and ML use cases
Develop, validate, and maintain statistical, machine learning and neural network models to solve business problems
Develop NLP solutions such as text classification, information extraction, summarization, and document similarity
Requirements
University degree in a relevant discipline – such as Advanced Analytics, Data Science, Artificial Intelligence, Computer Science, or Statistics
Nice to have: Deep learning frameworks
Nice to have: Formal certification from AWS or Azure
Nice to have: Experience with Spark or Databricks for large-scale data processing
Nice to have: Exposure to deploying or supporting ML workloads in AWS and/or Azure
Lead product vision, strategy, and roadmap for Agentic AI developer platforms, collaborating with engineering, architecture, and stakeholders to deliver scalable, secure, and high‑performance solutions.
Responsibilities
Own product vision, strategy, and roadmap
Define product direction and prioritize features
Build technical and product consensus
Champion developer experience and API design
Manage product backlog and roadmap
Requirements
Bachelor’s or master’s degree in computer science, engineering, or related field
Lead end‑to‑end AI/ML initiatives, develop and productionize machine learning models, collaborate with product and engineering teams, mentor junior data scientists, and drive complex data science projects from conception to production.
Responsibilities
Lead end‑to‑end AI/ML initiatives
Develop and productionize machine learning models
Collaborate with product and engineering teams
Mentor junior data scientists
Drive complex data science projects from conception to production
Requirements
Graduate degree in Computer Science, Software Engineering, Data Science, Statistics, Mathematics, or equivalent
Nice to have: Generative AI
Nice to have: LLMs
Nice to have: Retrieval‑Augmented Generation (RAG)
Lead technology delivery for enterprise AI products, owning product strategy, roadmap, and execution across the organization.
Responsibilities
Define and drive product vision, strategy, and multi-quarter roadmap
Translate organizational goals into actionable product requirements, delivery plans, and success metrics
Serve as technical voice of the product, partnering with engineers and architects on model development, data pipelines, APIs, cloud platforms, and AI infrastructure
Lead rapid AI proof-of-concepts and recommend next steps
Drive delivery across cross-functional teams, managing risks, dependencies, trade-offs, vendor deliverables, and cadence
Requirements
MBA or advanced degree in computer science, engineering, data science, or a related technical field
Leverage advanced analytics to surface strategic insights and support Questrade’s growth and customer‑centric solutions across a multi‑product, multi‑channel financial services environment.
Compensation
Base salary range: $120,000 - $130,000
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.
Responsibilities
Supporting Strategy and Corporate Development team with data requests to inform decision making
Collaborating on customer segmentation and profitability analysis
Contributing to set up and inputs for customer / product profitability models
Building and refining predictive models
Identifying opportunities to embed data and analytics throughout strategy and new product development process on an ongoing basis
As a Data Science Intern at Enveda, you will join our Data Science team and work on machine learning for mass spectrometry, computational biology, and computational chemistry.
Locations (2)
United States
Canada
Compensation
Compensation per month: US - Masters ($5000 USD), PhD ($6000 USD) & Canada - Masters or PhD ($8500 CAD)
Responsibilities
Learn how to develop data-driven solutions tailored to the drug discovery industry as part of our Data Science team
Collaborate on machine learning for mass spectrometry
Collaborate on computational biology and computational chemistry
Lead the technical, data, and project aspects of Kalepa's key applied AI initiatives, owning architecture, evaluation infrastructure, and model strategy for large-scale LLM-based systems.
Locations (2)
United States
Canada
Compensation
We differentiate our North America salary ranges using two geographical zones:
Zone 1 (New York and San Francisco) - $270,000 to $345,000*
Zone 2 (all other locations in the US and Canada) - $243,000 to $310,500*
Responsibilities
Lead technical, data, and project aspects of applied AI initiatives
Set technical direction for LLM-based systems at scale
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