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Added 2 months ago
C
Junior DevOps Specialist
CGI
Toronto, ON
- Full-time
Strong proficiency in at least one object-oriented language (Java, Python, Go, or C#) and scripting frameworks (Bash, PowerShell).
Added 2 months ago
A
Data Scientist ⭐
Achievers
Toronto, ON
- Full-time
Have software engineering skills (scripting is important for quick prototyping, but knowledge in OOP is crucial for the long run), fluency in Python and SQL.
Added 2 months ago
AP
Insight and Analytics Lead, Commercial Excellence
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
Strong proficiency with analytical tools (R, Python) and visualization platforms (Power BI, Tableau)
Added 2 months ago
MH
Data Engineering Scientist
Maya HTT
Remote, Canada
- Full-time
- Remote
Maya HTT is a world leading developer of digital industries software solutions. The world’s top tier engineering and manufacturing organizations rely on MAYA’s experience and expertise to…
Added 2 months ago
RA
Software Engineering Intern - Applications, Infotainment & Mobile (January - August 2027)
Rivian and Volkswagen Group Technologies
Remote, Canada
- $30 to $33.75 CAD / hour
- Internship
- Remote
Software Engineering Intern - Android Developer
Added 2 months ago
HT
Senior Researcher – Computer Vision & Human-Centered AI
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
Strong Python and C/C++ skills with experience building real-time video-processing pipelines.
Added 2 months ago
HT
Intern Researcher – Multimodal AI & Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
Strong programming and software development skills, preferably in Python plus at least one of C++, Java, C#, Kotlin, Swift, or a similar language.
Added 2 months ago
GD
Copy of Co-op Winter 2027 - Software Engineering - 4-8 months
General Dynamics Missions System International
Cole Harbour, NS · Ottawa, Ontario
- Internship
Develop, maintain, and document software in languages such as C++, C, Java, and Python.
Added 2 months ago
Co-op Assistant Coordinator, Data
Aecon
Toronto, ON
Write and maintain Python scripts to support automation, data processing, and integration between Power Platform tools and external systems.
Added 2 months ago
TB
Baseball Operations - Entry Level Opportunities
Toronto Blue Jays
Toronto, ON
- Contract
Proficiency with data management and analysis tools like SQL, R, Python is considered an asset.
Added 2 months ago
MT
Senior Software Architect - RISC-V Embedded Systems
Microchip Technology Inc.
Burnaby, BC · Canada - Burnaby
- Full-time
Technical Mastery: Strong expertise in RTOS, multi-processor architectures, and low-level programming (C/C++ and Python).
Added 2 months ago
CU
Senior Web Applications Developer
Concordia University of Edmonton
Edmonton, AB
- Full-time
Reporting to the Information Technology (IT) Applications Manager, the Senior Web Applications Developer is responsible for providing support, maintenance, and developing enhancements for…
Added 2 months ago
T
Senior Founding Engineer, Frontend
Tyce
Toronto, ON
- Full-time
Work full-stack when needed (Node or Python / FastAPI / PostgreSQL).
Added 2 months ago
C
Principal/Team Lead, Digital Verification Engineer (FEC)
Ciena
Ottawa, ON
- Full-time
Familiarity with programming languages such as: Python, Make, bash, object-oriented programming, C, C++.
Added 2 months ago
Principal Development Architect
SAP
Montreal, QC
Advanced experience in one or more of those technologies: Java or Node, Python, package managers, REST APIs, Unit Tests, Databases, at least one Cloud Platform (SAP BTP, AWS, GCP, Azure),…
Added 1 month ago
A
Principal Software Developer
Autodesk
Vancouver, BC · AMER - Canada - British Columbia - Vancouver - Bentall Centre
- Full-time
We are looking for a Principal Software Developer to join the Autodesk Platform Services (APS) Developer Portal team at Autodesk.
Added 2 months ago
AL
Senior Full-Stack Software Engineer
Altis Labs
Remote, Canada
- Full-time
- Remote
Fluency in Python and TypeScript/JavaScript; experience with React, GraphQL, and Docker
Added 2 months ago
SE
Manufacturing Engineering Assistant - Production (Co-op)
S&C Electric Company
Toronto, ON · Etobicoke, ON
- Full-time
Added 2 months ago
R
Manager, New Product Risk
Relay
Remote, Canada
- Full-time
- Remote
You’re proficient in Python for advanced analysis or automation
Added 2 months ago
GD
Co-op Winter 2027 DevOps Engineering - 8-16 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
Knowledge of object-oriented programming languages such as C/C++, C#, Java, or Python.
Added 2 months ago
Nvidia Omniverse Developer
Eclipse Automation
Cambridge, ON
The Senior NVIDIA Omniverse Developer will work under the Omniverse lead developer to design, build, test, and scale Omniverse-based tools for industrial automation. This person will be…
Added 2 months ago
S
Customer Success Operations Specialist (Gainsight Administrator)
ScalePad
Vancouver, BC
- Full-time
Added 2 months ago
MN
Intermediate Software Developer
March Networks
Remote, Canada
- Full-time
- Remote
Intermediate Software Developer – Developer Experience and Release Engineering Team – Ottawa
Added 2 months ago
TA
Manager, Analytics Consulting (Retail/CPG)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Working familiarity with analytical tools such as Excel, SQL, BI/visualization tools and/or Python.
Added 2 months ago
FR
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
- Full-time

Achievers

Data Scientist ⭐

Toronto, ON, Canada

$108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data. · Full-time

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Job details

Pay: $108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data.
Job type: Full-time
Apply by: Feb 18, 2027
Experience: 3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science.
Posting language: English
Posted: Sep 1, 2026

Original job description

Our Data Scientists are a highly motivated and curious group. They're spearheading Achievers' efforts to build products powered by AI and enjoy solving all the problems that come with building at scale. We don't operate under a rigid structure, as a member of this team, you'll have the opportunity to shape the work and the craft. 

In this role, you'll research and develop innovative AI and Machine Learning based approaches to help us deliver on our vision to make sure every employee feels valued, engaged, and knows their voice matters. You will have the opportunity to autonomously own part of our data strategy, work in one of the world's most diverse and complex data environments, and bring together loosely structured datasets to find actionable outcomes that improve our customers' experience.

We're looking for a Data Scientist with a strong background in applied Machine Learning, who has experience using data to produce models that power real-world solutions which are actively being used by customers. The successful candidate will also have experience working with a development team to translate their models into working software. 

Why you'll love this role:

Lead high-impact initiatives that shape how millions of people experience work around the world.
Bring your unique perspective to complex and challenging projects - apply your expertise in data science, influence technical direction, and share your knowledge with fellow team members.
Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.
Work alongside an experienced leadership team who is genuinely invested in your career growth.
Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.

How you'll shape Data Science at Achievers:

Work with a team of passionate data scientists on a variety of projects. Use both your IQ and EQ to support yourself, your team, and your company in achieving more inside and outside the office.
Work with Product Managers and Development teams to develop, deploy, and monitor Machine Learning solutions that are integrated into software products, ensuring scalability, reliability, and maintainability through modern MLOps practices.
Work with the Workforce Science team to push the boundaries on what is known about the “how” and “why” of the ways people work and interact with their peers.
Work with the Product team or other internal teams to analyse data such as feature usage and adoption and uncover insights to guide future product investments or business directions.
Work with the Client Success team to explore how recognition/engagement data relates to customer data and business metrics.
Collaborate with customer-facing teams, Product, and Data Engineering teams to analyze insights, feature usage and adoption to guide product investments, program optimization and business directions.
Develop repeatable frameworks and templates for insight generation, including benchmarking, demographic breakdowns, and engagement scoring.
Bring an “A-Player” attitude: aiming for the happiness of your stakeholders; erring on the side of quick communication and deep collaboration; strong sense of integrity and respect toward your colleagues (and everyone) that you express with helpfulness – you’re a team-player

Experience we feel will set you up for success:

Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred
3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science. 
Demonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and ML.
Demonstrated experience working with both structured and unstructured data and a deep understanding of ML algorithms and statistical modeling.
Have software engineering skills (scripting is important for quick prototyping, but knowledge in OOP is crucial for the long run), fluency in Python and SQL.
Experience with cloud platforms (e.g., GCP, BigQuery) and version control tools.
Experience working in social networks, recommender systems and/or NLP applications
Have deployed models to production with an engineering team.
Excellent communication – written, conversational, presentation, and data-visualization.
Experience with both software engineering (ideally in an agile environment and with programming best practices) and empirical science.
Experience in an HR space (e.g. People Analytics) or knowledge of Organizational Psychology is highly desirable.

Bonus:

PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field
Expertise in machine learning methods including Time series analysis, Hierarchical Bayes; and Learning techniques such as Decision Trees, Boosting, Random Forests, Deep Learning, Neural Networks

Why Achievers is a Great Place to Work™

At Achievers, we believe recognition is a powerful driver of connection. With more than 4.3 million users across 190 countries, our employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. We’re a team of passionate, thoughtful builders who care deeply about our product, our customers, and each other. Visit achievers.com to see how we’re inspiring recognition everywhere.

Our Approach to Total Rewards

$108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data. We’re committed to providing a fair and competitive offer based on what you bring to the team. Each A-Players' compensation is reviewed at least annually against performance and impact in role. We want you to see your path to growth, understand your impact, and feel valued every step of the way.

Benefits and Perk s for permanent full-time employees:

✨ Rewards for your impact through our Recognition and Rewards program

🩺 Health Benefits and Life Insurance Coverage beginning on your first day

👶🏼 Parental Leave Top-up

🙌🏼 Employer matched RRSP contributions

🏖️ Flexible Vacation to recharge, so you can bring your best

🤝🏽 Employee and Family Assistance Program offering mental health, legal, and financial counselling

🚀 Supported professional development and career growth (Linkedin Learning, mentorship)

👏🏼 Employee-Led Employee Resource Groups that celebrate our diversity

🧘‍♀️ Regular events designed to build connection, belonging, and well-being

🇨🇦 Hybrid flexibility, with time in our beautiful Liberty Village, Toronto office

Achievers is proud to be an equal opportunity employer committed to building a diverse, inclusive workplace where everyone can do their best work. We encourage qualified candidates from all backgrounds and experiences to apply.

Achievers is committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any accommodations for your interview, such as assistive technology, wheelchair accessibility, or alternative formats of materials, please let us know. We are happy to make necessary arrangements to support your needs.

We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools help our recruitment team but never replace decisions made by real people. We believe in a human-first approach to hiring, where your experience, personality, and potential are recognized by people, not algorithms, and where final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Research and develop innovative AI and Machine Learning solutions to improve employee engagement and product experience. Collaborate with product and engineering teams to deploy scalable models and analyze data to guide business investments.

Requirements

Requires 3+ years of experience in AI/ML and product data analysis with proficiency in Python and SQL. An advanced degree in a quantitative field is preferred, along with experience deploying models to production.

Skills

Machine Learning
Artificial Intelligence
Python
SQL
GenAI
MLOps
Statistical Modeling
Data Visualization
Cloud Platforms
BigQuery
NLP
Recommender Systems
Time Series Analysis
Deep Learning
Object-Oriented Programming
Agile Methodology

Benefits

Recognition and Rewards program
Health Benefits
Life Insurance Coverage
Parental Leave Top-up
Flexible Vacation
Employee and Family Assistance Program
Professional development
Employee Resource Groups
Well-being events

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
GenAI
MLOps
Python
SQL
GCP
BigQuery
NLP
Recommender Systems
Time Series Analysis
Hierarchical Bayes
Decision Trees
Boosting
Random Forests
Deep Learning
Neural Networks
People Analytics
Organizational Psychology
Data Science
Software Engineering
Agile
Data Visualization
Statistical Modeling
Unstructured Data
Product Analytics
Benchmarking
Engagement Scoring
Behavioral Science
Computer Science

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