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Senior Data Scientist

  • Remote
  • 6+ years

Salary

Not stated

Similar roles pay $95K - 125K a year · our estimate

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Description

Putting people first, every day

The company is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters a people-first culture with a high priority on your personal and professional growth.

Your Opportunity

The company Canada is looking to onboard a Senior Data Scientist with the ability to work from anywhere in Canada. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to drive data-driven decision-making. In addition, you will collaborate with cross-functional teams & service lines to develop, enhance and implement ML predictive models, GEN AI, AI Agent solutions to facilitate in decision making, actionable insights thus achieving productivity and revenue gains and indirectly contributing to the organization's strategic goals.

Job Responsibilities:

Collect, clean, and transform large, complex datasets for analysis.

Build custom machine learning models and natural language processing systems using state-of-the-art techniques.

Leverage tools like TensorFlow, PyTorch, Kubernetes, and Nvidia Triton Servers to develop specialized large language models tailored to business needs.

Train, evaluate, and optimize models for accuracy, explainability, and ethical alignment.

Clearly communicate technical analysis and results to stakeholders using data visualizations, reports, and presentations.

Continuously monitor models and data pipelines in production to ensure quality and reliability.

Stay up to date on the latest advancements in deep learning, NLP, reinforcement learning, and other AI methods.

How do we define success for your role?

You demonstrate the company's core values through all aspect of your work: Integrity, Respect and Collaboration

You understand your client’s industry, challenges, and opportunities; client describe you as positive, professional, and delivering high quality work

You identify, recommend, and are focused on effective service delivery to your clients

You share in an inclusive and engaging work environment that develops, retains and attracts talent

You actively participate in the adoption of digital tools and strategies to drive an innovative workplace

You grow your expertise through learning and professional development

Your experience and education

M.S. or Ph.D. in Computer Science, Data Science, or related quantitative field.

5+ years’ experience in building and deploying machine learning models in a production environment.

Expertise in Python data science libraries like Pandas, matplotlib, NumPy, and Scikit-Learn.

Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL databases is essential.

Knowledge graph

Use Git for version control and collaborative development, ensuring all code is well-documented and follows best practices.

Experience training custom transformer models like Llama and Mistral.

Knowledge of cloud platforms like Azure, AWS, or GCP for model deployment.

Strong verbal and written communication skills.

Passion for translating complex data into actionable insights.

Why the company?

Our people-first approach to talent has earned us a spot among Canada’s Top 100 Employers for 2026 . This recognition is a milestone we’re thrilled to add to our collection of awards for both experienced and student talent experiences.

At the company, our people experience is guided by three core pillars— Do work with genuine care, Do what matters with purpose, and Do what’s next - shaping how we support our people, serve our clients, and grow together.

Our firm is committed to providing an environment where you can be successful in the following ways:

We enable you to engage with how we change and evolve, being a key contributor to the success and growth of the company in Canada.

We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.

We support your achievement of personal goals outside of the office and making an impact on your community.

We foster a collaborative, inclusive environment where your ideas are valued, and you can do your best work with genuine care and purpose

We encourage innovation and forward thinking, empowering you to embrace what’s next and help shape the future of our firm

Giving back adds up: Where company meets community. The company is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide comprehensive benefits from day one, and a flexible personal time off policy. We’re committed to supporting your overall wellbeing and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts: We are committed to creating a workplace where employees can participate fully, contribute meaningfully and succeed without barriers. We are dedicated to fostering a workplace defined by respect, fairness, and a true sense of belonging for everyone. We recognize and celebrate the unique experiences, identities, and perspectives that each of us bring – and that these experiences strengthen how we work together. Our commitment extends to ensuring that our application process is both inclusive and accessible. If you require accommodation to complete the application process, please contact us .

Flexibility: All the company personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It’s about creating work experiences that meet everyone’s needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

The company may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by the company personnel.

Where you’d work

Fully remote

You can work from

  • Canada

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 5 good signs
  • 0 red flags

Still hiring?

10 checks

Actively hiring

In its favour2

  • Still on the company's own careers site, checked 2 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence

How crowded?

5 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Senior level: far fewer people qualifySlight evidence
  • Asks for scikit-learn, which fewer than 1% of open roles doSlight evidence

Fits Me

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • AWS
  • Kubernetes
  • PyTorch
  • Azure
  • LLMs
  • TensorFlow
  • scikit-learn
  • NLP
Seniority
Senior
Type
Full-time
Specialty
Data Science
Region
Canada
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • SQL
  • AWS
  • Kubernetes
  • PyTorch
  • Azure
  • LLMs
  • TensorFlow
  • scikit-learn
  • NLP

Location

Work model
Remote
Region
Canada
Remote from
  • Canada

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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