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Added 1 day ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…monitoring, and observability. The ideal candidate will have strong Python and machine-learning engineering expertise, with a proven ability to take machine-learning models from…
Added 1 day ago
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Machine Learning Engineer
Hays
Toronto, ON
- Contract
The position requires close collaboration with data, product, and engineering teams while documenting results, findings, and trade-offs clearly.
Added 1 day ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs),…
Added 1 day ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
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Senior Python Developer with PySpark and AWS
Luxoft
Toronto, ON
- Full-time
The project involves the data engineering organization’s Analytical Work Bench , which is an integrated development environment. The objective is to rationalize and integrate AWB with…
Added 1 day ago
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Senior Software Engineer
Vylan
Montreal, QC
- Full-time
…engineers, contribute to architectural decisions, and help shape our engineering standards and tooling. This is a full-time, on-site role based in Montreal,…
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Data Scientist
neurohire.ai
Remote, Canada
- $80,000 to $100,000 CAD / year
- Full-time
- Remote
Write efficient code using Python and relevant data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
Added 1 day ago
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Senior Data Analytics & Performance Engineer
Enbridge
Calgary, AB · Edmonton, AB
- Full-time
In this role, you will provide technical leadership for Power Operations’ performance data and analytics platform, designing, developing, and sustaining the Microsoft Fabric environment…
Added 1 day ago
DevOps / Cloud Engineer
Capgemini
Toronto, ON
…approximately 5 to 6 years of DevOps, container platform, and cloud engineering experience. The ideal candidate will have strong experience with Red Hat OpenShift Container Platform (OCP),…
Added 1 day ago
Supportability Technical Lead, Billing, Google Cloud
Google
Waterloo, ON
Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
Added 1 day ago
TG
Application Security Engineer
TMX Group
Toronto, ON
- $105,000 to $115,000 CAD / year
- Full-time
Cultivate strategic relationships with development teams and engineering leadership to ensure smooth execution and cultural adoption of the security testing programme.
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Service Router Test Student
Nokia
Ottawa, ON
- Full-time
Currently a candidate for a Master’s or Bachelor's degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or a related field with an accredited…
Added 1 day ago
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QA Functional Tester Junior Intern
Future Electronics
Kirkland, QC
- Internship
…gaining exposure to modern software development and quality engineering…
Added 1 day ago
MA
Senior Software Engineer
Milya AI
Montreal, QC
- Full-time
…shipping intuitive frontend interfaces. If you love zero-to-one engineering, solving hard technical problems in real time, and moving fast without sacrificing architectural quality, this…
Added 1 day ago
Senior Technical Solutions Manager, Billing, Google Cloud
Google
Waterloo, ON
Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
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Senior IT Infrastructure Administrator, DevOps
Confluence
Montreal, QC
- Full-time
At Confluence, we're building the future of investment data through innovation, collaboration and continuous improvement. As AI reshapes the financial services industry, we're embracing new…
Added 1 day ago
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Principal, AI Agent Control & Governance
ATB Financial
Calgary, AB
- Full-time
Agent Architecture & Guardrails: Collaborate with AI Engineering, Security, Data, and Architecture teams to design agent orchestration layers and implement operational governance guardrails.
Added 1 day ago
C
Senior IT Infrastructure Administrator, DevOps
Confluence
Toronto, ON
- Full-time
At Confluence, we're building the future of investment data through innovation, collaboration and continuous improvement. As AI reshapes the financial services industry, we're embracing new…
Added 1 day ago
Manager, Agent Development, Applied AI
Google
Toronto, ON · Waterloo, ON
Like Google's own ambitions, the work of a Software Developer goes way beyond just Search. Software Development Managers have not only the technical expertise to take on and provide…
Added 1 day ago
Operations Analyst (Toronto-based) – Remote
Agoda
Toronto, ON
Minimum 2 years experience working in a business analysis, data analysis, reporting or data engineering. Strong internship experience will also be considered.
Added 1 day ago
AS
Applied Scientist II, Sponsored Products and Brands Agent
Amazon Science
Toronto, ON
- Full-time
Collaborate with engineering, product, and science teams to integrate your solutions directly into large-scale production systems serving millions of advertisers.
Added 1 day ago
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Senior Data Architect
Miratech
Toronto, ON · Scarborough, ON
- Full-time
We are looking for a Senior Data Architect to design the end-to-end data platform for APEX. The platform ingests contact centre telephony and quality data from the Genesys A3S Snowflake…
Added 1 day ago
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Security Engineer, Vulnerability Management
LiveKit
Canada
- Full-time
Our customers trust us with audio, video and data belonging to their own end users, so a security failure on our side puts their data and their business at risk. We are hiring a Security…
Added 1 day ago
RV
Senior Hardware Engineer-Platforms
Ross Video
Ottawa, ON · Nepean, ON
- Full-time
This is a hands-on, on-site engineering role focused on system-level signal integrity, FPGA and SerDes bring-up, and practical hardware problem-solving. You will work directly with…
Added 1 day ago
RD
Technical Customer Success Manager
Redpanda Data
Canada
- Full-time
4+ years in a TAM, technical CSM, or post-sales engineering role supporting data infrastructure, distributed systems, or developer platforms

neurohire.ai

Data Scientist

Remote, Canada

Remote

$80,000 to $100,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $80,000 to $100,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 0–1 year of experience in Data Science, Machine Learning, Data Analytics, or a related technical role.
Posting language: English
Posted: Nov 6, 2026

Original job description

NeuroHire is seeking a motivated and analytical Data Scientist to join our team. In this role, you will work with structured and unstructured datasets to discover meaningful patterns, develop predictive models, and generate data-driven insights that support business objectives and strategic decision-making.

You will collaborate with technical and business teams to explore data, build machine learning models, evaluate analytical results, and help transform complex datasets into actionable solutions. This position is ideal for an early-career professional who is passionate about statistics, programming, machine learning, and solving real-world problems through data.

Key Responsibilities

Collect, clean, process, and analyze large datasets from multiple sources to identify patterns, trends, and meaningful insights.
Perform exploratory data analysis (EDA) to understand data distributions, relationships, and potential business opportunities.
Develop, train, test, and evaluate machine learning models to solve analytical and predictive problems.
Apply statistical techniques and mathematical methods to interpret data and support evidence-based decisions.
Write efficient code using Python and relevant data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
Build predictive models, classification algorithms, regression models, and other machine learning solutions.
Work with SQL databases to extract, manipulate, and analyze structured data.
Create data visualizations, reports, and presentations to communicate analytical findings.
Evaluate model performance using appropriate metrics and recommend improvements.
Collaborate with software engineers, data analysts, and cross-functional teams to translate business requirements into analytical solutions.
Assist in developing and improving data processing and machine learning workflows.
Maintain documentation of datasets, analytical methodologies, experiments, and model results.
Stay updated with emerging data science techniques, machine learning technologies, and industry best practices.

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related technical field.
0–1 year of experience in Data Science, Machine Learning, Data Analytics, or a related technical role.
Strong programming knowledge in Python and familiarity with data science libraries such as Pandas, NumPy, and Scikit-learn.
Solid understanding of statistics, probability, linear algebra, and mathematical fundamentals.
Familiarity with machine learning concepts, including supervised and unsupervised learning.
Understanding of data preprocessing, data cleaning, feature engineering, and exploratory data analysis.
Proficiency in SQL for querying, joining, filtering, and analyzing datasets.
Familiarity with data visualization tools and libraries such as Matplotlib, Seaborn, or Plotly.
Understanding of machine learning algorithms such as regression, decision trees, random forests, clustering, and classification.
Familiarity with Jupyter Notebook, Google Colab, or similar development environments.
Basic understanding of model evaluation, validation techniques, and performance metrics.
Familiarity with Git and GitHub for version control and collaborative development.
Strong analytical thinking, critical reasoning, and problem-solving abilities.
Ability to interpret complex data and communicate findings clearly.
Strong attention to detail, teamwork, and willingness to learn new technologies.

Preferred Qualifications

Academic projects, internships, or personal projects involving data science, machine learning, or predictive analytics.
Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
Basic understanding of Natural Language Processing (NLP) and generative AI concepts.
Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Familiarity with model deployment, APIs, or machine learning pipelines.
Experience participating in data science competitions or working with real-world datasets.

Opportunity to contribute to an innovative, AI-powered technology company.
Hands-on exposure to real-world data science and machine learning projects.
Opportunities to strengthen programming, statistical analysis, and machine learning skills.
Collaborative environment that encourages experimentation, innovation, and continuous learning.
Opportunities for professional development and technical career growth.
Exposure to modern data science tools, technologies, and analytical workflows.
Opportunity to contribute to data-driven solutions and meaningful business initiatives.

If you are passionate about data science, machine learning, and transforming complex data into meaningful insights, we encourage you to apply and grow your career with NeuroHire.

Apply About employer

More about this job

Responsibilities

The Data Scientist will collect, clean, and analyze large datasets to develop predictive machine learning models and generate actionable business insights. They will collaborate with cross-functional teams to translate business requirements into analytical solutions and communicate findings through reports and visualizations.

Requirements

Candidates must hold a Master's degree in a technical field such as Data Science, Computer Science, or Statistics. The role requires 0-1 year of experience and strong proficiency in Python, SQL, and fundamental statistical and machine learning concepts.

Skills

Python
SQL
Machine learning
Statistics
Data analysis
Predictive modeling
Pandas
NumPy
Scikit-learn
Matplotlib
Data visualization
Exploratory data analysis
Feature engineering
Git
Linear algebra
Probability

Benefits

Professional development
Technical career growth
Collaborative environment
Exposure to modern data science tools

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
Predictive Modeling
Statistics
Pandas
NumPy
Scikit-learn
Matplotlib
Exploratory Data Analysis
Feature Engineering
Git
GitHub
Linear Algebra
Probability
Regression
Classification
Clustering
Jupyter Notebook
Google Colab
TensorFlow
PyTorch
Natural Language Processing
Generative AI
AWS
Microsoft Azure
Google Cloud Platform
Data Visualization
API

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