Data Scientist on the Machine Learning Team for Alberta’s Workers’ Compensation Board. Developing scalable machine learning solutions and overseeing analytics projects to improve workplace safety.
About the role
- Senior Data Scientist at Thumbtack leading data-driven decision-making through analytics and collaboration with cross-functional partners. Delivering insights and mentoring others for company-wide impact.
Responsibilities
- Identify, scope, and deliver high-impact projects end-to-end, leveraging the right resources and partners
- Proactively coordinate and collaborate with stakeholders to maximize the impact and adoption of your work
- Clearly communicate insights and business implications to audiences ranging from technical to executive, using the right level of complexity and narrative to influence decisions and roadmaps
- Develop frameworks and measurement approaches that make complex marketplace and product questions intuitive and actionable
- Apply rigorous analytical and causal inference methods (e.g., experimentation, quasi-experimental designs, forecasting/measurement) balancing rigor with practical constraints (time, complexity, marginal value)
- Own and improve shared decision-making programs and infrastructure, such as experimentation practices, market-based testing, and impact measurement
- Design, build, and maintain shared DS tooling and reusable assets (e.g., notebooks, libraries, training, standardized metrics, and key models that empower other teams)
- Mentor other scientists/analysts and lead trainings/courses to raise the bar for scientific decision-making across the company
Requirements
- 3+ years of professional experience in economics, analytics, or data science (e.g. in tech, consulting, government, etc)
- Proficiency with empirical econometrics toolkit (experimentation; methods for causal inference such as IV; panel data methods; discrete models; etc)
- Proficiency with SQL
- Proficiency with R or Python, including strong data visualization skills
- Strong communication skills: able to communicate complex methods in intuitive and simple ways, easily able to adapt messaging to fit the audience, able to identify/highlight key information
- Ability to build strong relationships cross-functionally and with senior leadership
- Proficiency with data wrangling and organizing data for different models or analyses; and organized workflows and project management skills
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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.
LP
Test Data Management Developer
LinkedIn Recruiter Post
Hiring: Test Data Management Developer in Toronto, ON (Hybrid). 12 - month contract requiring Delphix, data masking, and SQL expertise.
LP
Senior / Principal Data Scientist
LinkedIn Recruiter Post
Senior / Principal Data Scientist role focused on building and scaling GenAI and Agentic AI systems in production. Location: Toronto (Hybrid). Compensation up to $200K - 225k base.
LP
Data Scientist
LinkedIn Recruiter Post
Senior Data Scientist role in Wealth Management, leading AI/ML initiatives to drive investment decisions and client experience. Hybrid in Toronto.
LP
Data Scientist
LinkedIn Recruiter Post
Hiring Data Scientist for 6 - 8 month contract in Toronto, ON. Requires Python, SQL, Databricks, Power BI, and AML/compliance experience.
Staff Data Scientist leading strategy and execution for marketing intelligence efforts at Reddit. Focus on optimizing marketing spend and measuring effectiveness for long - term growth.
Senior Data Scientist enhancing Reddit's user experience through data - driven projects. Collaborating with teams to analyze and model data for insights and strategies.
Senior Data Science Manager leading a team of data scientists to drive marketing analytics at Reddit. Focused on strategic insights and data - driven decision making for marketing efforts.
Data Scientist driving product strategy and user engagement at Reddit. Analyzing data and collaborating with teams to enhance user experiences in online communities.
Data Scientist on Aviva's Fraud Data Science team transforming large datasets into actionable insights. Designing and deploying machine learning models to enhance fraud detection capabilities.