Senior Data Scientist I

Donuts Inc.; Toronto; On-site; CAD 104,000 - 136,000; Full time

Job summary

A technology solutions firm in Toronto is seeking a Senior Data Scientist to join their Data & Analytics team. This role involves designing and deploying machine learning models, analyzing large datasets, and communicating insights to drive business growth. The ideal candidate will have over 5 years of experience, a relevant degree, and proficiency in data science tools and languages. The position offers a competitive salary range of CAD $104,000 - $136,000 plus additional benefits. Applicants should have strong problem-solving skills and the ability to work collaboratively.

Benefits

Discretionary bonuses

Long-term incentive plan

Flexible salary range based on experience

Qualifications

• 5+ years of experience in developing, deploying, and monitoring production data / ML pipelines.
• Proven ability to lead and deliver complex machine learning projects.
• Exceptional problem‑solving skills with the ability to resolve ambiguous issues.

Responsibilities

• Design, build, and deploy predictive models that deliver measurable business outcomes.
• Analyze large, complex datasets to uncover actionable insights.
• Communicate insights using compelling data visualizations and storytelling techniques.

Skills

Data analysis

Predictive modeling

Machine learning

Python programming

SQL proficiency

Education

Bachelor’s Degree in relevant field

Advanced degree (Masters or PhD) in AI/ML

Tools

Airflow

SQL databases

PyTorch

TensorFlow

Kubernetes

Job description

Career Opportunities with Identity Digital

As a Senior Data Scientist, you will be part of the Data & Analytics team, responsible for the design, operation, and continuous improvement of our reporting and analytics platform. You will apply data analysis, predictive modeling, and machine learning techniques to solve business challenges and support key initiatives. This role involves communicating complex data science concepts to non-technical audiences and delivering actionable insights that inform business decisions. You will also maintain, enhance, and deploy machine learning applications in production.

This role reports to the Director, Business Intelligence.

What You’ll Do

• Design, build, and deploy predictive models and machine learning algorithms that deliver measurable business outcomes
• Analyze and interpret large, complex datasets to uncover meaningful patterns, trends, and actionable insights
• Prepare structured and unstructured data through preprocessing, feature engineering, and data quality assurance
• Monitor, evaluate, and optimize AI/ML model performance to ensure accuracy and reliability in production environments
• Communicate insights using compelling data visualizations, dashboards, and storytelling techniques
• Develop and recommend data‑driven strategies and AI solutions that address critical business challenges and drive growth
• Research, evaluate, and benchmark emerging AI/ML technologies to inform product and platform roadmaps
• Collaborate with leadership to deliver clear, impactful updates on key insights, project milestones, and demonstrations
• Leverage MLOps best practices to streamline the end‑to‑end lifecycle of AI applications from experimentation to deployment and monitoring
• Exhibit strong analytical and problem‑solving acumen, applying agile principles to rapidly test, learn, and iterate
• Actively models and promotes Identity Digital’s core values through day‑to‑day interactions, behaviors, and decision‑making
• Other duties as assigned

Who You Are / What You Bring

• 5+ years of experience in developing, deploying, and monitoring production data / ML pipelines
• Bachelor’s Degree in Mathematics, Computer Science, Data Science, Engineering or other quantitative field is required; Advanced degree (Masters or PhD) in AI/ML preferred
• Expertise across several of the following areas: anomaly detection, time‑series analysis, structured and unstructured data processing, causal inference, reinforcement learning, embeddings and vector databases, large language models, and modern MLOps / LLMOps practices
• Professional experience with key tools and platforms such as Airflow, Argo Workflows, cloud data warehouses (BigQuery, Databricks, Snowflake), major cloud providers (AWS, GCP), Git, Kubernetes, MLFlow, Pandas, Polars, PyTorch, TensorFlow, and SHAP
• Strong programming proficiency in Python and SQL; familiarity with Shell scripting is a plus
• Proven ability to lead and deliver complex data and machine learning projects, collaborating effectively across technical and business teams
• Experience designing and implementing data‑driven systems leveraging business intelligence, data warehousing, and ETL/ELT technologies
• Exceptional problem‑solving skills with the ability to diagnose and resolve issues from limited or ambiguous information
• Creative and strategic thinker with a strong analytical foundation and a focus on measurable impact
• Collaborative communicator who excels in cross‑functional environments and builds strong working relationships
• Highly organized with excellent time management, attention to detail, and execution discipline
• Knowledge of the domain name industry or digital identity ecosystem is a plus
• Ability to travel as needed
• Ability to work across time zones as part of a global organization as needed
• Reliable transportation to the workplace

Physical Requirements

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift up to 15 pounds at times

Salary Range

The base salary range for this full‑time position is CAD $104,000 - $136,000 (flexibility based on experience) plus additional benefits. In addition, the successful candidate will be eligible to receive other compensation from time to time in the form of discretionary and/or nondiscretionary bonuses and long‑term incentive plan. Actual compensation will be influenced by a candidate’s qualifications, internal employee equity considerations, and location. We will not ask for information about a candidate’s current or past compensation for purposes of developing an offer of employment.

Note: Benefits programs are subject to eligibility requirements and may vary in certain locations.

A few things to know about us

Identity Digital is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, age, national origin, veteran status, marital status, sexual orientation, gender identity, disability or any other category prohibited by local, state or federal law. This policy applies to all aspects of employment, including recruitment, placement, promotion, transfer, demotion, compensation, benefits, social and recreational activities, and termination.

At the time of an offer, you will be required to complete a background check. Any offer is contingent upon a satisfactory background check.

Sponsorship Statement

Please note that work sponsorship for this position may not be available now or in the future. While we strive to support our candidates, not all roles will qualify. Eligibility will be reviewed on a case‑by‑case basis.

Accommodation Statement

We are committed to the full inclusion of all qualified individuals. As part of this commitment, Identity Digital will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, please contact our Recruiting Team at [e-mail].