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Data Optimisation Jobs in British Columbia (NOW HIRING)

Data Scientist

Mcleese Lake, BC

CA$102K - CA$128K/yr

Position Title Data Scientist, Technical Services Employment Type Full-Time Organization Gibraltar ... Contribute to ongoing model maintenance and optimization activitie

Make data-driven recommendations for optimizing business strategies based on results of A/B testing. Product Feature Analysis and Optimization: * Measure the success of newly released product ...

Lead the design, implementation, and optimization of data solutions within Azure Cloud, using technologies such as Azure Databricks, Apache Spark, Unity Catalog, and Purview. Build architectures that ...

Data Scientist

Mcleese Lake, BC · On-site

CA$102K - CA$128K/yr

Contribute to ongoing model maintenance and optimization activities for existing machine learning tools. * Design and implement secure, automated end-to-end data pipelines from source data to ...

Oversee the performance optimization, scalability and reliability of the PM2PA data flows. This may involve tuning Oracle databases or other key data sources, optimizing application performance and ...

Oversee the performance optimization, scalability and reliability of the PM2PA data flows. This may involve tuning Oracle databases or other key data sources, optimizing application performance and ...

Senior Data Developer

Vancouver, BC · On-site

CA$122K - CA$150K/yr

As a key contributor to Digital and Analytics (Plant Optimization), this role helps ensure site data is standardized, trusted, and readily available to support OKRs, operational analytics, and the ...

Senior Data Developer

Vancouver, BC · Hybrid

CA$46.39 - CA$66.68/hr

Demonstrated hands on experience optimizing data solutions and pipelines ensuring scalability ... performance, and cost effectiveness are addressed.Strong proficiency developing in SQL languages ...

Senior Data Developer

Vancouver, BC · Hybrid

CA$46.39 - CA$66.68/hr

Demonstrated hands on experience optimizing data solutions and pipelines ensuring scalability ... performance, and cost effectiveness are addressed. Strong proficiency developing in SQL languages ...

Develop and enforce best practices for managing and optimizing data storage, transformation, and reporting within the Microsoft Fabric ecosystem. * Ensure seamless integration of Microsoft Fabric ...

As the Data Scientist , you are the technical engine of a small, high-leverage analytics function ... Strong SQL skills, including comfort with complex joins, and query optimization against large ...

As the Data Scientist , you are the technical engine of a small, high-leverage analytics function ... Strong SQL skills, including comfort with complex joins, and query optimization against large ...

As the Data Scientist , you are the technical engine of a small, high-leverage analytics function ... Strong SQL skills, including comfort with complex joins, and query optimization against large ...

As the Data Scientist , you are the technical engine of a small, high-leverage analytics function ... Strong SQL skills, including comfort with complex joins, and query optimization against large ...

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Showing results 1-20

Data Optimisation information

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 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 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 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 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 job categories do people searching Data Optimisation jobs in British Columbia look for?

The top searched job categories for Data Optimisation jobs in British Columbia are:

Infographic showing various Data Optimisation job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

CA$102K - CA$128K/yr

Full-time

Re-posted 2 days ago


Job description

Position Title

Data Scientist, Technical Services

Employment Type

Full-Time

Organization

Gibraltar Mine

Location

Williams Lake, BC

Reporting Relationship

Senior Engineer, Process Control

Salary Range

$102,700 to $128,300

About Taseko

Taseko Mines Limited is a dynamic and growing mine operator headquartered in Vancouver, Canada. Focused on North America, Taseko is driven to unlock the true value of copper for a complex and changing world.

The Company’s foundational asset is the long-life, low-cost Gibraltar copper mine in south-central British Columbia, for which it has won numerous environmental and safety awards for operational excellence.  Gibraltar is a state-of-the-art facility and the second largest open pit copper mine in Canada, with a 700+ person workforce.  Gibraltar produces an average of 130 million pounds of copper and 2.5 million pounds of molybdenum each year, with mineral reserves sufficient for more than 20 years of future operations.

For more information visit our website www.tasekomines.com.

Role Overview

We are looking for an enthusiastic data scientist to join our technical services team. This role presents an opportunity to expand the site’s data science capabilities and support our data science lead.

Gibraltar Mine currently uses machine learning tools in our milling processes. This role’s key function would be to assist in developing and maintaining these tools by:

  • Training machine learning models on observational data sets from sensors and assays in the mine and mills.
  • Conducting exploratory data analyses to discover opportunities for process improvements, feature engineering, new targets for optimization schemes, and validating data/model health.
  • Designing reports and visualizations to communicate KPIs and insights.

The position will also support other departments by providing broader on-site data management, wrangling, analysis, and modeling to support complex mining and milling processes.

Core Responsibilities
  • Contribute to ongoing model maintenance and optimization activitie