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Added 1 month ago
Senior Data Analyst
Konrad
Toronto, ON
Strong SQL expertise and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
Added 1 month ago
PI
Staff Data Engineer
PENN Interactive
Canada
- Full-time
Hands-on expertise with BigQuery, dbt, Airflow, Python, SQL, and modern cloud data platforms.
Added 1 month ago
R
Full Stack Developer, AI
RBC
Toronto, ON
- Full-time
5+ years of software development experience with languages such as Java, Python and JavaScript, with a strong foundation in SQL and a willingness to contribute across a diverse tech stack…
Added 1 month ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
…the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the central repository of finance related datasets, with capabilities including the ingestion of…
Added 1 month ago
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Senior Software Developer - Workflows
Verily
Toronto, ON
- Full-time
Demonstrated experience with Go, Java, Python, and/or SQL.
Added 1 month ago
B
Senior Business System Analyst
BMO
Toronto, ON · SCC
- Full-time
5+ years of experience in one or more of SQL, NoSQL, Python, Scala
Added 1 month ago
G
Spécialiste livraison et support / Delivery & Support Specialist - Integration
Genetec
Montreal, QC
- Full-time
Added 1 month ago
ST
System Assets Configuration Coordinator
Scarborough Transit Connect
Toronto, ON · Scarborough, ON
- Full-time
Familiarity with Power BI, SQL, Python, or automation tools is an asset but not required.
Added 1 month ago
S
Senior Core Java Developer with E-trade exp.
Synechron
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a highly skilled Senior Java Developer with AI experience to join the FIC Global Spread Products eTrading Technology team. The successful candidate will contribute to the…
Added 1 month ago
H(
Senior Analyst, Real Estate Portfolio Analytics
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic…
Added 1 month ago
H(
Senior Manager, Total Fund Data Science and Modeling
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- Full-time
our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic…
Added 1 month ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- $191,700 to $213,000 CAD / year
- Full-time
Must Have - Advanced Python & Java expertise in production systems (testing, packaging, performance profiling) and deep experience extending agent frameworks such as Anthropic, LangChain,…
Added 1 month ago
DS
Research Assistant
DHL Supply Chain
Mississauga, ON
- Full-time
Become an essential part of everyday life, by contributing to an organization that is Connecting People and Improving Lives. If you have a passion for people, a desire to problem-solve, and…
Added 1 month ago
MD
GIS Data Steward - ITS3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Knowledge of SQL for data definition, manipulation, and selection within enterprise geodatabases, including Oracle, PostgreSQL, and PostGIS environments.
Added 1 month ago
Senior Data and Systems Specialist
Government of Alberta
Edmonton, AB
Experience with programming or data tools such as Python, SQL, R, or similar.
Added 1 month ago
Technical Consultant II/III
Zafin
Toronto, ON
Hands-on experience with Java, Spring Boot, Python, J2EE, object-oriented design, design patterns, Maven, Git, CI/CD pipelines, and Agile delivery practices.
Added 1 month ago
QA Engineer III
Zafin
Toronto, ON
Perform database and backend validation using SQL to verify data integrity, transformations, transactional accuracy, and downstream processing results.
Added 1 month ago
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Entry-Level Quantitative Researcher
Point72
Toronto, ON
- Full-time
Programming in Python (or comparable language) and working knowledge of SQL
Added 1 month 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 1 month ago
B
Data Analyst
Borrowell
Remote, Canada
- $75,000 to $125,000 CAD / year
- Full-time
- Remote
Data Modeling & Infrastructure: Build, maintain, and optimize data models daily using SQL and dbt to ensure a robust, high-quality data infrastructure.
Added 1 month 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 1 month 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 1 month ago
CU
Senior Web Applications Developer
Concordia University of Edmonton
Edmonton, AB
- Full-time
Develop, maintain, and support in-house web applications using PHP, Python, and SQL.
Added 1 month 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
R
Manager, New Product Risk
Relay
Remote, Canada
- Full-time
- Remote
You’re proficient in SQL and can independently retrieve and analyze data using joins, aggregations, CTEs, subqueries, and window functions

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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