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Python Data Scientist Jobs in Alberta (NOW HIRING)

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

... Science. * Development experience utilizing Java, Kotlin, SQL, Python, Spring framework, Spring Boot, Data Pipeline technologies based on Apache Spark, RDS, NoSQL, distributed storage, and federated ...

Slrconsulting

Environmental Data Manager

Calgary, AB · On-site

CA$70K - CA$90K/yr

Bachelor's Degree in Environmental Engineering/Sciences preferred. Experience in the following ... Python, R or similar). * Experience with designing and automating digital workflows. * Excellent ...

Finning

Data Engineer II

Edmonton, AB · Hybrid

Working knowledge of Python, PySpark, scripting, Git, CI/CD concepts, and automation practices ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent ...

Finning

Data Engineer II

Calgary, AB · Hybrid

Working knowledge of Python, PySpark, scripting, Git, CI/CD concepts, and automation practices ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent ...

WSP

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Conduct exploratory data analysis and statistical analyses using Python and/or R. * Prepare ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

WSP

Intermediate Spatial Ecologist

Calgary, AB · On-site +1

CA$43.90 - CA$60.40/hr

Conduct exploratory data analysis and statistical analyses using Python and/or R. * Prepare ... Master's degree in Ecology, Data Science, Environmental Science, or a related field. * 5-10 years ...

Viridien

Machine Learning Engineer

Calgary, AB

Strong skills in statistics and programming, as well as knowledge of data science and software ... Python * Good experience with Large Language Model technologies * Experience within Data ...

PwC

Manager Cyber Cloud Security and AI

Calgary, AB · Hybrid

CA$116K - CA$166K/yr

Experience across cybersecurity, Data Science,AIor related disciplines (e.g.technology risk). * AI Expertise: Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Alberta

Python Data Scientist information

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$25K

$127K

$190K

How much do python data scientist jobs pay per year?

As of Jul 23, 2026, the average yearly pay for python data scientist in Alberta is $126,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $159,000.00 per year, depending on experience, location, and employer.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Alberta? For Python Data Scientist jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Alberta look for? The top searched job categories for Python Data Scientist jobs in Alberta are:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,959 per year, or $61 per hour.
Systems Developer

Systems Developer

Stream Systems Ltd.

Calgary, AB • Hybrid

Full-time

Posted 5 days ago

Job description

Systems Developer

Company Overview

Stream Systems (www.streamsystems.ca) is a leading-edge technology company that enables enterprises to optimize and make better decisions. Our SimOpti intelligence platform brings AI, machine learning and simulation to power business intelligence across complex operations, in any industry.

Reporting Structure/Department

Reporting to the Software Development Manager, we are looking for an intermediate to senior level Systems Developer with a strong Java and data expertise to join our team and work closely under the direction of our Technical Systems Lead. Your work will directly support and enable the evolution of our cloud-based platform, SaaS products, simulation and optimization models, and AI/ML/Data development and deployment. Your role is integral to the design, development, and implementation of AI/ML models into data pipelines and microservice systems, for product delivery.  

What you’ll be doing

As a key member of the platform team, you will work with simulation developers, data scientists and testers towards transitioning AI/ML, simulation models, and data pipelines from research PoC development through to product delivery. 

The role’s direct responsibilities include: 

  • Software development using Java/Kotlin. 
  • Database development, schema design, and data operational management. 
  • Library and framework development to support simulation and optimization projects.
  • 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 requirements. 
  • Supporting research projects, and platform programs with PoC development 

Requirements

To ensure success in the role, you will need the following:

  • Bachelor’s degree or formal qualifications from an institute of technology in a STEM related discipline, such as Mathematics, Engineering or Computer Science. 
  • Development experience utilizing Java, Kotlin, SQL, Python, Spring framework, Spring Boot, Data Pipeline technologies based on Apache Spark, RDS, NoSQL, distributed storage, and federated governance. 
  • Exposure to inter-process communications using event based async messaging, queueing and topics, RESTful API services and streaming. 
  • Exposure to development using event-driven microservice architectures (on-prem, hybrid and cloud), AWS and Azure Cloud Services, Docker, Kubernetes, and Container services. 
  • Experience developing for PostgreSQL, MongoDB is required. 
Nice to Have
  • Python expertise.  
  • Azure Synapse, AWS Athena, and MS SQL Server experience.

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