7 Data Scientists jobs in Ottawa

Job Description

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

• 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
• Strong analytical skills working with unstructured data sets
• Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
• Strong experience with big data services like Spark, Kafka, Rabbit
• Experience working with Startups are considered a bonus
• Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

• A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
• 1-2 years' experience developing solutions and working with Python
• Confident extracting and manipulating data from SQL and noSQL stores
• Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks’ vacation
• Relocation Package

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

• 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
• Strong analytical skills working with unstructured data sets
• Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
• Strong experience with big data services like Spark, Kafka, Rabbit
• Experience working with Startups are considered a bonus
• Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

SENIOR DATA SCIENTIST – OMNI-CHANNEL ANALYTICS

REMOTE (CANADA-BASED)

C$100,000 – C$150,000 + 18% BONUS + BENEFITS

Are you passionate about applying data science to optimise digital and healthcare marketing strategies? This global pharma leader is investing heavily in its omnichannel analytics capabilities, and you could be at the centre of it.

This role sits within a fast-growing analytics function that is shaping how the company communicates with patients and healthcare professionals – ensuring the right message reaches the right audience, through the right channel, at the right time.

THE ROLE

As a Senior Data Scientist, you’ll partner closely with brand and omnichannel teams to support decision-making through advanced analytics and modelling. Your responsibilities will include:

• Developing predictive models such as next-best-action, response modelling, uplift, and segmentation
• Designing and analysing A/B tests and attribution frameworks to assess promotional effectiveness
• Wrangling large, complex datasets from multiple sources to build clean modelling datasets
• Collaborating with cross-functional teams including Marketing, Media Agencies, and Data Engineering to ensure data quality, consistency, and insight delivery
• Generating insights to optimise campaign design and HCP targeting strategies

YOUR SKILLS AND EXPERIENCE

To be successful in this role, you’ll need:

• Strong experience in data science and predictive modelling (classification, regression, uplift, etc.)
• Proven ability to work with messy data and derive clean, interpretable features (SQL and Python are essential; R is a bonus)
• A background in omnichannel marketing, media analytics, or digital healthcare preferred
• Experience with campaign measurement, media mix modelling, or HCP segmentation highly desirable
• MSc or PhD in a STEM, statistics, or data-related discipline

BENEFITS

• Remote-first role (Canada-based)
• Competitive base salary and annual bonus
• Health, dental, and vision coverage
• Company-matched retirement plans
• Generous PTO, including end-of-year shutdown
• Long-Term Incentive Plan (LTIP) eligibility

HOW TO APPLY

Interested in applying your analytics skills to meaningful healthcare challenges? Click below to apply.

Job Description

Key Responsibilities

• Identify AI Opportunities: Analyze existing processes and data to identify opportunities where AI can add the most value.
• Develop AI Models: Select appropriate algorithms, prepare data, and train AI models to achieve desired outcomes.
• Collaborate with Departments: Work closely with various departments to understand their needs and challenges, tailoring AI solutions to address specific business problems.
• Implement Best Practices: Build and optimize data pipelines, ensure data accuracy and consistency, and establish governance for AI models.
• Drive AI Adoption: Promote AI adoption by educating employees, demonstrating benefits, and fostering a culture of innovation.

Qualifications

• Education: Bachelor's or master’s degree in computer science, Data Science, Statistics, or a related field.
• Technical Skills: Proficiency in programming languages such as Python or R, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools.
• Analytical Skills: Strong analytical and problem-solving abilities with the ability to translate AI predictions into meaningful business insights.
• Communication Skills: Excellent interpersonal and communication skills to present findings effectively and collaborate with cross-functional teams.
• Experience: Prior experience in developing and implementing AI models, as well as working with large datasets.
• Pattison ID does not sponsor work visas for this position.

Key Competencies:

• Problem Solving: Ability to identify and solve complex problems using AI
• Technical Expertise: Technical Mastery in AI and Data Science
• Collaboration and Communication: Strong interpersonal skills to work closely with various departments
• Innovation: A mindset focused on continuous learning and innovation
• Attention to Detail: Keen eye for detail to ensure the accuracy and quality of AI models

Preferred Qualifications

• Advanced Degree: Ph.D. in a relevant field.
• Industry Experience: Experience in the sign industry.
• Certifications: Relevant certifications in AI or data science.

Work Environment and Schedule

• This is a full-time position with core hours Monday–Friday.
• May require occasional travel.
• Hybrid schedule may be considered based on performance and departmental needs.

Physical Demands

The physical requirements described here reflect those that must be met by an employee to effectively perform the essential functions of the role:

Essential functions include the ability to remain seated at a desk for extended periods while using a computer and other office equipment; frequent use of the telephone, keyboard, and mouse; clear communication and active listening; physical movements such as bending, turning, and neck movements; occasional lifting or moving of objects up to 10 pounds (rarely up to 25 pounds); and the visual ability to perform tasks requiring both near and far vision — all with or without reasonable accommodation.

Pattison ID does not sponsor work visas for this position. Candidates must be authorized to work in Canada without the need for current or future sponsorship.

The above statements are intended to describe the general nature and scope of responsibilities performed in this position. They are not intended to be an exhaustive list of all duties, responsibilities, or qualifications. Additional tasks may be assigned based on business needs and at the discretion of Pattison ID Management

Lead Data Scientist - Fintech

$200,000–$225,000 + bonus + benefits

Remote

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization's innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a tech-lead, model building / development–focused role—ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You'll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.

What You’ll Bring

• 5+ years of machine learning and NLP modeling experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Technical leadership experience required; direct people management a plus
• Experience with LLMs and agents for financial services, legal or compliance
• Background in: NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on NLP products
• Experience delivering LLM-based solutions
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retreival Augmented Generation | Agents | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval