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Data Science Jobs in Calgary, AB (NOW HIRING)

Enverus

Data Specialist - 26327D

Calgary, AB · Remote

Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a related field (preferred). * Equivalent work experience will be considered in lieu of a degree. * 1 ...

hireVouch

Cloud Data Analyst/ DBA

Calgary, AB · On-site

Knowledge of analytics, reporting, visualization, or data science techniques is considered an asset. Primary Focus Areas * Query optimization and performance analysis. * Cloud database configuration ...

KPMG

Manager, ML/AI Engineer, Data & AI

Calgary, AB

University degree in computer science, engineering, data science, mathematics, or a related discipline. * 5+ years of professional experience in machine learning, data science, AI engineering, or a ...

Viridien

Machine Learning Engineer

Calgary, AB · On-site

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity ...

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

Working with our data science team to integrate ML/AI models into the platform. * Integrating complex system components using data pipelines. * Adapting simulation and optimization models to product ...

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All JobsData Science JobsData Science Jobs in Calgary, AB

Data Science information

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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The most popular types of Data Science jobs in Calgary, AB are:

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For Data Science jobs in Calgary, AB, the most frequently searched job titles are:

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The top searched job categories for Data Science jobs in Calgary, AB are:

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Infographic showing various Data Science job openings in Calgary, AB as of August 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 100% In-person job distribution.

Data Specialist - 26327D

Enverus

Calgary, AB • Remote

Full-time

Medical, Dental, Vision, Life

Posted 10 days ago

Job description

Data Specialist

Why YOU want this position

At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.

We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.

The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.

Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

We are currently recruiting for a Data Specialist to join our organization; this is a remote position based in the Canada. The Data Specialist plays a critical role in ensuring highquality data ingestion, transformation, and configuration within the MineralSoft platform. This role requires strong analytical skills, attention to detail, and comfort working with AIenabled tools, structured data formats, and mineral management systems.

Performance Objectives

  • Data Extraction & Structuring: Extract data from clientprovided PDFs using AIdriven tools and other technical solutions, converting unstructured and semistructured content into clean, structured data files.
  • Data Transformation: Transform clientprovided or Enverusgenerated structured data files into MineralSoftcompatible upload formats, ensuring accuracy, consistency, and completeness across all transformed datasets.
  • Data Loading & System Configuration: Load, map, and configure datasets in MineralSoft, performing data validations and quality checks to ensure a successful ingestion process.
  • Querying & Reporting: Create and run report queries to extract data from MineralSoft for internal and client use, presenting outputs in clear, wellstructured formats.
  • Troubleshooting & Integration Management: Diagnose and resolve data integration issues between MineralSoft and EnergyLink, collaborating with technical and product teams to address systemlevel data concerns.

Competitive Candidate Profile

  • Proficiency with structured data formats (e.g., Excel, CSV, JSON).
  • Experience using AIbased document extraction tools and data processing technologies.
  • Familiarity with MineralSoft and EnergyLink platforms (preferred).
  • Strong understanding of data mapping, transformation, and validation processes.
  • Ability to assess data quality, identify discrepancies, and implement corrective actions.
  • Strong troubleshooting skills related to data integrations and system behavior.
  • High attention to detail and accuracy.
  • Strong organizational and timemanagement abilities.
  • Clear written and verbal communication skills.
  • Ability to collaborate with crossfunctional teams and manage multiple priorities
  • Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a related field (preferred).
  • Equivalent work experience will be considered in lieu of a degree.
  • 1-3 years of experience in data management, data analysis, or a similar technical role.
  • Experience working with mineral management systems, land data, or energy industry data (preferred).
  • Prior experience with data extraction tools, ETL processes, or system integrations is a plus.

Enverus offers comprehensive benefits to our employees to include:

  • Medical
  • Dental
  • Vision
  • Income Protection (disability, life/AD&D, critical illness, accident)
  • Employee Assistance Program (EAP)
  • Healthcare Spending Account (HSA), Commuter
  • Lifestyle & Wellbeing Program
  • Pet Insurance
Employment Type: Full-Time

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