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Data Optimisation Jobs in Ontario (NOW HIRING)

Architech

Part Time - Data Architect

Toronto, ON

Our engineers and designers harness cloud-native tools, autonomous agents, data-driven insights, and GenAI to drive measurable impact - replatforming systems in the cloud, optimizing customer ...

McKesson

Director Data Engineering

Mississauga, ON · On-site

Ensure data platform security, compliance, and performance optimization across all environments Minimum Requirements * 12+ years experience of professional experience in related IT field with 4+ ...

Ci

Manager, Data Operations

Toronto, ON

Architecture & Platform Optimization * Collaborate with data engineering and architecture team to design scalable, cost-efficient, and resilient data platform architectures. * Coordinate data ...

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing, and optimizing cloud-native data solutions on the Azure Data platform, with a primary focus on ...

New

McKesson

Director Data Engineering

Mississauga, ON · On-site

Ensure data platform security, compliance, and performance optimization across all environments Minimum Requirements * 12+ years experience of professional experience in related IT field with 4+ ...

Fitch Solutions

Principal Data Engineer

Toronto, ON

Design and implement data solutions using PostgreSQL for relational data and MongoDB for NoSQL requirements, ensuring optimal performance and scalability. * Architect and deploy containerized data ...

RoseHarbor Publishing

Data Analyst

London, ON

As a Data Analyst, you will play a key role in designing, developing, andmaintainingreporting ... Conduct query profiling, optimization, and execute ad-hoc queries as needed. * Work closely with ...

Gore Mutual Insurance

Data Scientist

Cambridge, ON · On-site

Data Scientist We're looking for a Data Scientist to join our growing team and build the next ... Basic understanding of optimization concepts (linear, integer, dynamic programming) * Experience in ...

Project X

Consultant, Data Architect

Toronto, ON · On-site

Drive performance optimization and cost efficiency across deployments. What We're Looking For - Required Qualifications * 5+ years in data architecture or engineering, with hands-on Snowflake ...

Dentsu Aegis Network

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

We use data to create personalized and connected experiences that deliver transformative business ... We are entirely focused on delivering better business results through optimization, creation and ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

Their work enhances effectiveness, optimization, and insight across the ecosystem. The Data Engineer supports analytics and omnichannel initiatives by designing, building, and maintaining data ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · Hybrid

Collaborate with BI developers to structure Snowflake objects for optimal Power BI connectivity and reporting performance * Establish and maintain data lineage documentation, naming conventions, and ...

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Showing results 21-40

All JobsData Optimisation JobsData Optimisation Jobs in Ontario

Data Optimisation information

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are popular job titles related to Data Optimisation jobs in Ontario? For Data Optimisation jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Optimisation jobs in Ontario look for? The top searched job categories for Data Optimisation jobs in Ontario are:
Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Toronto, ON • On-site, Remote

Full-time

Re-posted 15 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve Pricing techniques.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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