9 results for Data Scientist jobs

Data Scientist

Cambridge, ON
remote
Contract / Temporary
60 - 75 CAD / Hourly
We are looking for a Data Scientist to support market and performance analytics within the automotive sector in Cambridge, Ontario. This Long-term Contract opportunity is well suited to someone who combines strong statistical thinking with practical model-building experience and can translate complex data into meaningful business insight. The role focuses on analyzing market, sales, and inventory information to improve decision-making, while working with tools such as Python, Jupyter, Alteryx, and low-code BI platforms. Responsibilities: • Design and refine statistical models that connect market indicators with sales and inventory trends to generate actionable analysis. • Examine data pipelines and source relationships to ensure inputs are reliable, consistent, and suitable for modelling activities. • Build and test analytical solutions in Python, using notebook-based workflows to explore patterns, validate assumptions, and assess results. • Evaluate model effectiveness through appropriate performance measures and recommend adjustments to strengthen analytical outcomes. • Partner with business and analytics stakeholders to shape data-driven approaches that support reporting and strategic planning. • Apply machine learning techniques where appropriate to enhance forecasting, segmentation, or performance analysis needs. • Use Alteryx and business intelligence tools to prepare data, streamline analysis, and present findings in an accessible format. • Communicate technical observations and modelling results clearly to support informed operational and commercial decisions.
2026-05-13T00:00:00Z

Data Scientist

North York, ON
onsite
Permanent
100000 - 120000 CAD / Yearly
This job posting is for a current vacancy with our client. We are seeking an experienced Data Scientist for our client's growing Analytics team. The Data Scientist will be based in Toronto, Ontario, where they will turn complex data into practical insights that support business decisions. A core focus of this role includes machine learning expertise, data engineering capability, and analytical thinking to develop scalable solutions in a Databricks environment. You will work closely with technical and business teams to build reliable models, improve data workflows, and communicate findings in a clear and meaningful way. Key Responsibilities:• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.
2026-06-07T00:00:00Z

Data Engineer

Toronto, ON
onsite
Permanent
100000 - 120000 CAD / Yearly
Robert Half is working with a global, consumer‑facing organisation that’s scaling its data platform to better support marketing, sales, and customer analytics. They’ve recently invested heavily in their data stack and are growing their Data Engineering team to meet rising demand from the business.This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data. What you’ll be doing<ul><li>Partner directly with Marketing and Sales teams to understand data requirements</li><li>Design and build data models that power dashboards and analysis</li><li>Build and maintain data pipelines end‑to‑end</li><li>Work with cloud data platforms to ensure performance and reliability</li><li>Collaborate closely with BI and software engineering teams</li></ul>Tech environment<ul><li>Cloud data warehouse (AWS‑based, Redshift‑style)</li><li>SQL & Python</li><li>dbt for data modelling</li><li>Fivetran (or similar) for ingestion</li><li>Airflow for orchestration</li><li>BI tooling (Looker‑type stack)</li><li>Strong Salesforce / marketing data footprint</li><li>(Marketing Cloud / CRM / customer data experience is highly relevant)</li></ul>
2026-05-14T00:00:00Z

Databricks Developer

Mississauga, ON
onsite
Contract / Temporary
70 - 80 CAD / Hourly
Our client is seeking a Databricks Developer to support a migration project focused on moving data from Azure into Databricks. This role will play a key part in the early stages of the project, with a focus on data ingestion, SQL development, and end-to-end data flow processes involving Azure and Databricks. The ideal candidate will bring strong Databricks development experience, hands-on knowledge of Azure-based ingestion processes, and the ability to understand data structures from source through downstream reporting and forecasting systems. This is a 3 month contract to start in Toronto, Ontario looking for an individual available to start working immediately. Key Responsibilities:<ul><li>Develop and support data ingestion pipelines from Azure into Databricks</li><li>Analyze and understand source data structures to ensure accurate ingestion and transformation</li><li>Support SQL development related to ingestion, transformation, and validation processes</li><li>Assist with operational data workflows, including shipment data and loading into the data lake</li><li>Support forecast-related data movement back into Databricks</li><li>Contribute to end-to-end data flow design and execution across Azure and Databricks</li><li>Participate in the beginning stages of the project and help establish ingestion best practices and development standards</li></ul>
2026-06-09T00:00:00Z

Machine Learning Engineer

Edmonton, AB
onsite
Permanent
80000 - 100000 CAD / Yearly
AI & Machine Learning Software DeveloperPlease note that the successful candidate must be based in Edmonton or Calgary, as this is a hybrid role with in-office days on Monday and Wednesday.Our client is seeking a highly motivated AI & Machine Learning Software Developer to join their growing product and engineering team. Reporting to senior product leadership and working closely with advisors and cross-functional stakeholders, this role will play a key part in shaping how modern AI technologies are applied in a production software environment.This is an opportunity to experiment, prototype, and bring AI-driven features to life. The successful candidate will work with modern large language models, build NLP and retrieval pipelines, and translate research into meaningful product capabilities.Position Overview<ul><li>Full-time, permanent role</li><li>Hybrid work environment</li></ul>About the OpportunityOur client is a Canadian-based technology company developing a SaaS platform designed to help organizations manage and improve their engagement, communication, and relationship workflows. Their solution enables users to track interactions, manage information, and generate insights that support better decision-making.The organization offers a collaborative and fast-paced environment where innovation, experimentation, and continuous improvement are encouraged. Employees benefit from a supportive culture, competitive compensation, and a comprehensive benefits package.Key Responsibilities<ul><li>Collaborate with product and engineering teams to define requirements and identify opportunities where AI/ML can enhance product capabilities</li><li>Research, prototype, and implement AI-driven features from concept through to production</li><li>Design and run experiments, including defining evaluation criteria and refining prompts, retrieval strategies, and model selection</li><li>Integrate and orchestrate large language models into applications, including prompt engineering, embeddings, and vector search</li><li>Develop and deploy NLP solutions such as classification, summarization, sentiment analysis, and entity extraction</li><li>Build and maintain scalable AI/ML pipelines and production systems</li><li>Monitor model performance and continuously optimize solutions post-deployment</li><li>Support data analysis and data normalization initiatives</li><li>Contribute to technical documentation and support research and development activities</li><li>Stay current with emerging trends in AI, machine learning, and natural language processing</li><li>Participate in agile development processes, including backlog refinement and troubleshooting</li></ul>
2026-06-04T00:00:00Z

Data & AI Automation Analyst

Calgary, AB
onsite
Permanent
75000 - 85000 CAD / Yearly
THE ROLE:As the Data & AI Automation Analyst you will bridge business strategy and advanced analytics, delivering scalable data, automation, and AI-driven solutions. You will work closely with stakeholders to identify opportunities, design solutions, and drive measurable outcomes.Key Responsibilities:<ul><li>Design and implement automation workflows using tools such as Power Automate</li><li>Develop and support AI, analytics, and data-driven initiatives</li><li>Source, clean, and transform data to ensure accuracy and integrity</li><li>Build scalable data models and dashboards (Power BI) to support reporting</li><li>Translate business requirements into actionable insights and structured solutions</li><li>Lead solution design and requirements gathering with stakeholders</li><li>Mentor junior analysts and contribute to a high-performing analytics team</li><li>Communicate insights effectively to both technical and non-technical audiences</li></ul>WHY THIS ROLE?This is an exciting opportunity to join a high-performing digital solutions team at the forefront of AI, automation, and analytics innovation. You’ll work on impactful projects that combine emerging technologies with real-world business challenges, while collaborating in a culture that prioritizes continuous learning and knowledge sharing. The role offers a competitive salary, strong benefits package, and meaningful career growth opportunities. If you’re passionate about turning data into strategic insights and want to make a tangible impact, apply now!
2026-06-02T00:00:00Z

Data Security Analyst

Scarborough, ON
onsite
Contract / Temporary
60 - 70 CAD / Hourly
We are looking for a Cybersecurity Analyst to support a machinery manufacturing organization in Scarborough, Ontario. The ideal Cybersecurity Analyst will have experience to protect our clint's computer systems, networks, and data from cyber threats. The ideal candidate will monitor security systems, identify vulnerabilities, respond to incidents, and implement security measures to safeguard sensitive information. This is a 6 month contract, 3 days in office in Scarborough, Ontario. Key Responsibilities Monitor networks and systems for security breaches or suspicious activity Investigate and respond to cybersecurity incidents in a timely manner Conduct vulnerability assessments Analyze security logs and alerts from SIEM tools Implement and maintain security controls, policies, and procedures Perform risk assessments and recommend mitigation strategies Stay up to date with emerging threats, vulnerabilities, and technologies Collaborate with IT teams to ensure secure system configurations Assist with compliance efforts (e.g., ISO 27001, NIST, GDPR, HIPAA) Provide security awareness training to employees Coordinate prevention services (e.g. penetration testing) with security partners
2026-06-03T00:00:00Z

Business Intelligence Developer (Tableau)

Vancouver, BC
onsite
Contract / Temporary
35 - 45 CAD / Hourly
We’re looking for a Senior Business Intelligence (BI) Developer to support the buildout and enhancement of sales and revenue reporting capabilities. This role will focus on creating impactful dashboards and analytics related to forecasting, pipeline coverage, sales performance, and revenue insights using Salesforce data housed within a centralized data warehouse. The ideal candidate is a strong communicator who can work closely with business stakeholders to translate reporting needs into clear, actionable insights. In addition to traditional BI experience, we’re looking for someone comfortable leveraging AI tools such as Claude or ChatGPT to support data visualization, reporting ideas, and dashboard development workflows. Professional AI experience is not required, but curiosity and hands-on familiarity with AI tools is highly valued. This is a 9-month contract with strong potential for extension. The preference is for a hybrid resource working onsite Tuesday–Thursday, though remote candidates may be considered for the right fit. What You’ll Do<ul><li>Build and maintain dashboards and visualizations focused on forecasting, pipeline health, sales performance, and revenue analytics</li><li>Work with Salesforce CRM data (Accounts, Opportunities, Pipeline, etc.) within a centralized data warehouse environment</li><li>Leverage AI tools such as Claude or ChatGPT to assist with reporting development, data visualization concepts, KPI tracking, and insight generation</li><li>Partner with Revenue Operations and Sales Leadership to understand business requirements and deliver intuitive, scalable reporting solutions</li><li>Assess existing reporting environments and provide recommendations on dashboard improvements, reporting gaps, and BI best practices</li><li>Ensure data accuracy, consistency, usability, and reporting performance</li><li>Collaborate cross-functionally with RevOps, Sales, and Data teams to enhance analytics capabilities and drive business decision-making</li></ul>
2026-05-15T00:00:00Z

Sr. Data Engineer

Vancouver, BC
remote
Contract / Temporary
71.25 - 82.5 CAD / Hourly
Position OverviewWe’re partnering with a Vancouver-based client currently undergoing a large-scale enterprise data platform modernization, migrating their environment to Microsoft Fabric. This is a fully remote, 6-month contract with strong potential for extension, supporting a high-impact, fast-moving migration initiative.This is a deadline-driven project with a planned go-live at the end of August. The team is in active build mode and requires hands-on Fabric engineers who can immediately contribute to pipeline development, data transformations, and stabilizing workloads. The architecture and source mappings are already defined by the internal team. This role is focused on execution, build, and optimization, not design ownership. What You’ll Be DoingAs a Microsoft Fabric Data Engineer, you will play a key role in building and scaling the organization’s modern data platform within Fabric.You’ll be working in a high-volume, sprint-based environment, helping migrate and operationalize data pipelines across the medallion architecture (bronze → silver → gold). Key Responsibilities<ul><li>Build and maintain data ingestion pipelines using Microsoft Fabric Data Factory to ingest data into OneLake (bronze layer)</li><li>Develop and manage data transformations (bronze → silver → gold) using PySpark and Fabric notebooks, writing to Delta lakehouse environments</li><li>Implement and structure gold-layer data models optimized for reporting and analytics</li><li>Build and support semantic models (Direct Lake / Power BI)</li><li>Translate predefined source-to-target mappings into working pipelines and transformations</li><li>Troubleshoot and resolve pipeline failures, performance issues, and data inconsistencies</li><li>Optimize Spark workloads and pipeline performance</li><li>Work within a Git-based workflow (feature branches, pull requests) no direct production deployments</li><li>Collaborate with data architects and internal teams while working within a defined architecture</li></ul>
2026-06-03T00:00:00Z