Data Scientist

ZipRecruiter; Edmonton; Remote; CAD 80,000 - 110,000; Full time

Job summary

A leading company is seeking a Data Analytics/Data Scientist Specialist with extensive experience in statistical tools and data science. The role involves preparing data for modeling, understanding business questions, and participating in onsite meetings. Candidates should have strong skills in Python, R, and SQL, along with familiarity with big data technologies and data analytics methodologies.

Qualifications

• 6 years of experience in statistical and computer tools.
• Experience in building analytical and quantitative analysis models.

Responsibilities

• Prepare data for prescriptive and predictive modeling.
• Understand complex business questions to frame analytical questions.

Skills

Statistical Tools

Data Analytics

Data Science

Python

R

SQL

Tools

Hadoop

Spark

Azure

Snowflake

Job description

Job Description

Job Posting Title: Data Analytics/Data Scientist Specialist

Job Posting Start Date: 06/09/2025

Job Posting End Date: 05/29/2026

Notes on Location:

Resource will work remotely, though must be available for onsite meetings when required.

Onsite meetings include but are not limited to strategic, analytical, and technical discussions, meeting with team members, senior managers, directors, executive directors, and business clients. Frequency of meetings could be up to 3-4 times per fiscal year.

Actual onsite attendance may be negotiable, particularly if resource lives outside Alberta.

Work Experience:

At least

• 6 years of experience and comprehensive skills in using statistical and computer tools, e.g., R, Python, SQL
• 6 years of experience in building analytical and quantitative analysis models
• 6 years of experience with projects involving data science, data engineering, and/or AI
• 6 years of experience in preparing data for prescriptive and predictive modelling
• 6 years of experience in understanding complex business questions and framing the right analytical questions to solve a business problem
• 6 years of experience with and understanding of different approaches and methods for data analytics and data science (e.g., complex statistical modelling)
• 6 years of experience with and understanding of statistical and data mining techniques to address key business issues
• Public/Provincial/Federal/Crown experience is required

Nice to Have

Work Experience

• Experience combining raw data from various sources within and across domains
• Experience dealing with clients and explaining complex data principles clearly
• Experience designing and maintaining data pipelines, analytics workflows, or data product workflows
• Experience preparing visualizations, dashboards, and analytical models
• Experience understanding and developing requirements for analytical projects
• Experience utilizing big data technologies (e.g., Hadoop, Spark) or cloud platforms (e.g., Azure, Snowflake)
• Experience working with large government datasets