This role provides the opportunity to support analytics-enabled initiatives by developing and delivering data analysis and models that address defined business needs post audit closure.
Compensation
Base salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD
Responsibilities
Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business strategy
Own and deliver end-to-end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs
Requirements
Degree in Statistics, Mathematics, Computer Science, Engineering, or a related field
Bachelor’s degree with equivalent technical experience
This role provides the opportunity to support analytics-enabled initiatives by developing and delivering data analysis and models that address defined business needs post audit closure.
Compensation
Base salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD
Responsibilities
Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business strategy
Own and deliver end-to-end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs
Lead technical direction for complex machine learning initiatives, defining scientific approaches and influencing modeling strategy across teams.
Locations (2)
United States
Canada
Compensation
The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location.
Responsibilities
Define technical direction for complex machine learning initiatives
Lead the design and evaluation of advanced modeling approaches
Identify systemic opportunities to improve model development, experimentation, evaluation, and production performance
Partner with scientific, engineering, and business leaders to influence technical priorities
Establish scientific best practices and provide technical mentorship
Requirements
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience
Lead the AI Experience team to build and scale the Samsara Assistant and Agent Studio, driving product growth, activation, and quality for customers worldwide.
Locations (2)
Canada
United States
Compensation
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
Responsibilities
Own Assistant & Agent Studio and Agent Extensibility, leading about 10 engineers through two tech leads
Grow activation, so more customers try agents, through recommended questions, automatically generated reports and proactive agents
Drive answer quality and repeat usage, so customers trust what the Assistant tells them and come back daily
Set technical direction through RFCs and design reviews for a platform used by customers and Samsara teams
Raise the bar for how the team builds with AI, across coding, evaluation and operations
Lead the AI Experience team building the Samsara Assistant and Agent Studio, managing a cross-functional team of machine learning, applied science, and full‑stack engineers to deliver agentic solutions for safety, maintenance, and operations.
Locations (2)
United States
Canada
Compensation
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
Responsibilities
Own Assistant & Agent Studio and Agent Extensibility, leading about 10 engineers through two tech leads
Grow activation so more customers try agents through recommended questions, automatically generated reports and proactive agents
Drive answer quality and repeat usage, ensuring customers trust the Assistant
Set technical direction through RFCs and design reviews for a platform used by customers and Samsara teams
Raise the bar for how the team builds with AI, across coding, evaluation and operations
Data Scientist
Northbridge Financial Corporation · Posted Nov 11, 2026
Data Scientist I responsible for developing and deploying analytical models to support business decisions.
Compensation
The base salary range for this role is $80,000 - $120,000
Responsibilities
Participate in the data science lifecycle from understanding the business problem, to data extraction, to model development, to production deployment and change management
Perform data extraction and wrangling, and conduct exploratory data analysis
Train and evaluate applied statistics and machine learning models, using open source and cloud based proprietary software
Develop deployment scripts for batch and real-time delivery of model output
Maintain deployed models by running and delivering model output and debugging scripts as needed
Requirements
Undergraduate degree in Statistics, Mathematics, Computer Science, or relevant field
Support Anaplan reporting and data quality, develop automated data pipelines, and coordinate global real estate analytics.
Compensation
Salaried: $49-59 per hour.
Incorporated Business Rate: $58-68 per hour.
12-month contract.
Full-time position: 37.50 hours per week.
Hybrid work, with 3 days per week in the office.
Responsibilities
Support Anaplan reporting and data quality, including the migration of existing reports and control documents.
Assist with user testing, validation, parallel runs, user guides, training materials, and enablement documentation.
Collaborate with the Anaplan Centre of Excellence team to test, maintain, and enhance the Anaplan environment.
Assist in developing automated data pipelines between Anaplan and enterprise systems, including the enterprise data lake, Yardi, VTS, and Power BI.
Implement automated data validation checks to improve data quality and reduce manual intervention.
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
Pay Rate Range: $ 47.85 - 49.26/hr.
Role: Databricks Lead
Job Description:
SCM Data & Innovation Analytics is seeking a Databricks Lead with strong expertise in Databricks to design, build, and operationalize scalable Supply Chain data products that deliver measurable business value. This role combines advanced analytics, data pipeline development, and product delivery to transform complex Supply Chain Management (SCM) data into trusted, governed, and actionable insights.
Key Responsibilities
Develop analytics solutions that address Supply Chain business challenges, leveraging knowledge of oil & gas operations, procurement, supplier performance, spend analytics, and enterprise value drivers.
Design, build, test, and optimize scalable ETL/ELT pipelines in Databricks using Python, PySpark, SQL, notebooks, jobs, and orchestration patterns to support reliable Silver and Gold data products.
Transform and model data from ERP and enterprise platforms, including Oracle Cloud, SAP, ADW, Microsoft Dataflow, Dataverse, and other approved data sources.
Build and evaluate machine learning, statistical, and AI-assisted solutions, including:
- Classification
- Forecasting
- Anomaly Detection
- Text Analytics
- Natural Language Processing (NLP)
Utilize Databricks platform capabilities such as:
- Notebooks
- Jobs
- Workflows
- Unity Catalog
- SQL Warehouses
- Genie Code
- Lakeflow / Lakeflow Designer
Maintain project documentation, including idea assessments, requirements, design documents, and weekly status reports.
Communicate technical concepts, requirements, solution designs, and product details effectively to business stakeholders in clear, non-technical language.
Required Skills:
Databricks
Python
PySpark
SQL / Oracle SQL
Data Architecture & Data Modeling
ETL / ELT Pipeline Development
Machine Learning
Supply Chain Analytics
Data Integration and Data Transformation
Preferred Domain Experience:
Supply Chain Management (SCM)
Oil & Gas Industry
Procurement Analytics
Supplier Performance Analytics
Spend Analytics
Experience Required: 6-8 Years
Skills:
Category
Name
Required
Importance
Experience
SkillCategoryTest1_MN
Databricks
Yes
1
>7 years
Nice to have: advanced degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or related quantitative field
Nice to have: knowledge of advanced machine learning techniques
Nice to have: experience establishing modeling frameworks
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