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RA
Staff Software Engineer, Platform
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $181,890 CAD / year
- Full-time
- Remote
…next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the…
Added just now
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Data Platform Engineer
BRP
Montreal, QC
- Full-time
As a Data Platform Engineer working in the Data Solutions group, you will play a key role in extending the capabilities, and improving the efficiency of our data platform. You will…
Added 15 mins ago
SS
Delivery Lead
Soho Square Solutions
Toronto, ON
- Contract
Development or technical background. You can follow architecture, integrations, data flows, and dependencies
Added 15 mins ago
ET
Python Developer
Envision Technology Solutions
Toronto, ON
- Full-time
…designing, building, deploying, scaling, and maintaining modern, cloud-based production services, with knowledge of service-oriented…
Added 16 mins ago
Technical Architect
Mariner
Halifax, NS
…people. We partner with people embracing change, leveraging data, cybersecurity, cloud, and change management to drive successful business outcomes that matter to our…
Added 16 mins ago
Solution Architect - HPE
Converge Technology Solutions
Toronto, ON
The ideal candidate brings strong consulting and technical expertise across enterprise campus, branch, wireless, and data center networking, with deep experience in HPE Aruba Networking…
Added 30 mins ago
B
Data Engineer
Buyerlink
Victoria, BC
- Full-time
We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight - scalable pipelines, cloud-native data platforms,…
Added 30 mins ago
IL
Advanced Quality Engineer
Invesco Ltd.
Charlottetown, PE
- Full-time
Solid grasp of SQL, NoSQL, and data validation techniques.
Added 30 mins ago
Regional Manager, Workplace - Americas
Infoblox
Burnaby, BC
…make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500, and we’re looking for creative thinkers…
Added 30 mins ago
RU
ServiceNow Architect
RSM US LLP
Toronto, ON
- Full-time
Develop solution architecture, technical designs, integration strategies, data models, and implementation approaches that align with client enterprise architecture and ServiceNow best…
Added 45 mins ago
VP
System Integration Project Manager
Vista Projects
Calgary, AB
- Full-time
The System Integration Project Manager leads the delivery of SI projects at the intersection of engineering data, application development and emerging AI tooling. This role coordinates the…
Added 45 mins ago
IA
Sr. AI Data Platform Engineer (FinOps Reporting)
IT Accel, Inc.
Toronto, ON
- Full-time
Normalize cloud and technology spend data across provider feeds, including alignment with standards such as FOCUS where applicable.
Added 45 mins ago
E
Braze Lead Developer
EXL
ON · Ontario, Canada
- Full-time
We are seeking a hands-on Braze Lead Developer to build, integrate, and scale Braze solutions for enterprise clients. You will lead a team of developers while remaining deeply hands-on:…
Added 45 mins ago
CT
Lead QA Engineer
Cosmo Technologies
Toronto, ON
- $95,000 to $130,000 CAD / year
- Full-time
Certifications: ISTQB Advanced Test Manager, AWS DevOps Engineer, GCP Cloud Developer, or similar
Added 45 mins ago
HO
BI Analytics Engineer
Hydro One
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Complete developer testing, data reconciliation, regression testing, deployment, and post-deployment validation.
Added 45 mins ago
BU
I.T.C. Infrastructure Technologist
Brandon University
Brandon, MB
- Full-time
…municipal systems and emergency services, facilitating secure data exchange with external agencies when…
Added 45 mins ago
RD
Technical Project Manager - Software Solutions
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Technical Software Delivery: Proven track record managing custom enterprise software development initiatives centered around Java, J2EE, Spring Boot, and backend data architectures.
Added 45 mins ago
WC
Senior Analyst, Business Analysis and Insights
Walmart Canada
Mississauga, ON
- Full-time
Position Summary...The Senior Analyst, Business Analysis and Insights will manage and analyze data to provide actionable insights and recommendations. This role may involve interpreting…
Added 45 mins ago
A
PeopleSoft HCM Technical Delivery Lead
Ampstek
Mississauga, ON
- Contract
Experience integrating and supporting Workday HCM environments, including data migration, inbound/outbound interfaces, Workday web services, and hybrid PeopleSoft-Workday landscapes.
Added 45 mins ago
MP
IT Director, Application Development & Support
Michael Page
Markham, ON
- $140,000 to $180,000 CAD / year
- Full-time
…cross-functional teams to drive innovation, operational excellence, cloud transformation, and scalable technology outcomes that support business…
Added 45 mins ago
SAP ABAP Developer - SAP Technical Services
Capital Regional District
Victoria, BC
Analyzes and resolves complex problems which may include analyzing the business and technical risks of possible solutions based on SAP data structures and relationships between modules.
Added 45 mins ago
AT
Senior Data Scientist
Adoc Talent Management
Remote, Canada
- Full-time
- Remote
En tant que Scientifique des Données Senior (Senior Data Scientist), vous jouerez un rôle clé dans la conception, le déploiement et la maintenance de solutions technologiques innovantes…
Added 45 mins ago
E
QA Specialist
Entrust
Ottawa, ON · Canada - Ottawa
- Full-time
Experience with API testing, database validation, log analysis, browser developer tools, virtual machines, containers, or cloud-hosted test environments.
Added 45 mins ago
C
Lead QA Engineer
COSMO
Remote, Canada
- $95,000 to $130,000 CAD / year
- Full-time
- Remote
Certifications: ISTQB Advanced Test Manager, AWS DevOps Engineer, GCP Cloud Developer, or similar.
Added 45 mins ago
Senior Application Developer (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
We don’t just implement technology; we modernize outdated systems and reimagine processes. Our agile, data-driven approach ensures that digital services are both efficient and adaptable to…

Compugen Inc

Senior Data Analytical Specialist / Scientist - Contract

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

About Compugen Compugen is Canada's largest privately-owned Technology Ally. To innovate industries, transform businesses, connect communities, and drive meaningful change, we must think bigger, reach broader, and act bolder. Through knowledge, curiosity, and collaboration, Compugen helps organizations delivering experience by design. This is what it means to be human-centered and technology-enabled.

Dreaming, designing, and delivering isn't just a mantra for us - it's a way of life. We believe that technology is the conduit, but our people – they are the connection that truly makes the magic happen!

Our Culture We are a human-centered culture where we prioritize your well-being and are invested in helping you reach your fullest potential. We're not only focused on achieving our goals - we're dedicated to helping you achieve yours.

If you're relentlessly curious, driven to make a difference, and collaborative at the core, then you belong with us.

Position Overview: We are seeking an experienced Senior Data Analytical Specialist/Scientist to design, develop, and implement advanced analytics, predictive models, and machine learning solutions that support strategic business initiatives and data-driven decision-making.

The successful candidate will leverage statistical analysis, machine learning, and modern cloud-based analytics technologies to identify patterns, uncover actionable insights, and develop scalable analytical solutions. This role will focus on assessing data readiness, evaluating analytical opportunities, validating model performance, and translating complex data into measurable business value.

The ideal candidate will bring strong hands-on expertise in Python, SQL, statistical modelling, Azure Machine Learning, and Microsoft Azure AI technologies, combined with the ability to collaborate with business and technical stakeholders to deliver high-impact analytics and AI solutions.

Key Responsibilities:

Design, develop, and implement advanced analytics, predictive models, and machine learning solutions to address complex business challenges.
Conduct exploratory data analysis to identify trends, patterns, relationships, and opportunities for improved business performance.
Translate business requirements into analytical approaches, defining hypotheses, modelling methodologies, and measurable success criteria.
Develop and optimize statistical and machine learning models using classification, regression, clustering, and other advanced analytical techniques.
Apply statistical inference, probability, experimentation, and model selection techniques to support accurate and reliable analytical outcomes.
Perform feature engineering, data preprocessing, model tuning, and validation to improve predictive accuracy and performance.
Develop and manage end-to-end machine learning pipelines using Azure Machine Learning and Microsoft Azure AI Foundry.
Assess data quality, availability, completeness, and readiness to support AI and advanced analytics initiatives.
Support enterprise data maturity assessments and identify opportunities to improve analytical capabilities, processes, and data utilization.
Evaluate machine learning models for accuracy, reliability, bias, variance, overfitting, and overall performance.
Develop prototypes and proofs of concept to evaluate analytical approaches and demonstrate potential business value.
Collaborate with business stakeholders to identify, prioritize, and assess high-value AI and advanced analytics opportunities.
Partner with Data Engineers, Data Architects, Product Managers, and technology teams to operationalize successful analytical models and solutions.
Define, develop, and monitor key performance indicators (KPIs) to measure analytical effectiveness and business outcomes.
Develop reports, dashboards, and data visualizations using Power BI and other analytical tools to communicate insights.
Present complex analytical findings, model assumptions, limitations, and recommendations to technical teams, business stakeholders, and executive audiences.
Apply Responsible AI principles, data governance standards, privacy requirements, and model risk management practices throughout the analytics lifecycle.
Document analytical methodologies, model development processes, validation results, and technical recommendations.

Skills & Qualifications:

Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative discipline, or equivalent professional experience.
Extensive experience in data science, advanced analytics, predictive modelling, machine learning, and statistical analysis.
Advanced hands-on proficiency in Python and SQL, with demonstrated experience developing, tuning, and validating machine learning models using real-world enterprise datasets.
Deep expertise in statistics, probability, statistical inference, predictive modelling, and machine learning algorithms.
Strong knowledge of classification, regression, clustering, feature engineering, experimentation, model selection, and validation methodologies.
Demonstrated understanding of bias-variance trade-offs, overfitting, model accuracy, and statistical evaluation techniques.
Strong hands-on experience with Azure Machine Learning and Microsoft Azure AI Foundry, including end-to-end machine learning pipelines for experimentation, training, evaluation, and operationalization.
Experience developing and deploying analytical solutions within Microsoft Azure cloud environments, including Azure OpenAI and Azure ML Studio.
Experience working with Databricks for data processing, analytics, and machine learning workloads.
Proficiency with Power BI for data visualization, reporting, and communicating analytical insights.
Experience using development and collaboration tools, including Visual Studio Code, Git, and Jira.
Strong knowledge of data quality assessment, data preprocessing, exploratory data analysis, and analytical methodology.
Experience conducting data maturity assessments, evaluating analytical capabilities, and identifying opportunities for improvement.
Demonstrated ability to assess the feasibility, potential value, and measurable business impact of AI and advanced analytics initiatives.
Experience developing prototypes, proofs of concept, and scalable analytical solutions.
Understanding of Generative AI, Large Language Models (LLMs), and emerging AI technologies would be considered an asset.
Knowledge of Responsible AI, data privacy, governance, and model risk management principles.
Strong business acumen with the ability to translate complex analytical findings into actionable recommendations.
Excellent analytical, problem-solving, communication, and stakeholder engagement skills.
Proven ability to manage competing priorities, work collaboratively with cross-functional teams, and deliver high-quality solutions within established timelines.

Equity Statement At Compugen, we are committed to diversity, equity and inclusion. We actively recruit from all groups, including women, Indigenous people, persons with disabilities and members of visible minorities. We recognize the importance of removing barriers to participation and provide accommodation upon request to all applicants throughout the recruitment process. If you require an accommodation, our People & Culture representative will work with you to meet your needs in a confidential and respectful manner. We believe everyone deserves a seat at the table-and we are taking deliberate action to make this a reality.

#ITR

#CompugenITR

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More about this job

Responsibilities

Design, develop, validate, and operationalize advanced analytics and machine learning solutions, including predictive models and end-to-end pipelines using Azure technologies. Assess data readiness and business opportunities, measure model and business outcomes, and communicate insights and recommendations to technical and executive stakeholders.

Requirements

Requires extensive experience in data science, advanced analytics, statistical analysis, and machine learning, with advanced hands-on proficiency in Python and SQL. Candidates should have experience with Azure Machine Learning and Azure AI Foundry, cloud analytics, Databricks, and Power BI, along with strong communication skills and knowledge of responsible AI, data governance, and model risk.

Skills

Python
SQL
Statistical Modeling
Machine Learning
Predictive Modeling
Azure Machine Learning
Microsoft Azure AI Foundry
Azure OpenAI
Databricks
Power BI
Feature Engineering
Model Validation
Data Quality Assessment
Data Visualization
Responsible AI
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Advanced Analytics
Predictive Modeling
Machine Learning
Statistical Analysis
Python
SQL
Azure Machine Learning
Microsoft Azure AI Foundry
Azure OpenAI
Azure ML Studio
Microsoft Azure
Databricks
Power BI
Visual Studio Code
Git
Jira
Exploratory Data Analysis
Feature Engineering
Classification
Regression
Clustering
Statistical Inference
Model Validation
Data Quality
Data Maturity Assessment
Responsible AI
Data Governance
Model Risk Management
Generative AI

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