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Remote Data Science Jobs in British Columbia (NOW HIRING)

Manager, Machine Learning Engineering

Vancouver, BC · Remote

CA$181K - CA$272K/yr

  • Medical

  • Dental

  • Vision

... operations, and data science to identify new tooling for ML and LLM-driven features for Clio ... Remote This role is a backfill for an existing position. What you will find here: Compensation is ...

Consultant, Aquatic Biologist

Vancouver, BC · On-site +1

CA$73K - CA$94K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strengthen data integrity and scientific defensibility through diligent QA/QC and methodological ... Willingness and ability to travel and work in remote locations and varying weather conditions.

Consultant, Aquatic Biologist

Smithers, BC · On-site +1

CA$73K - CA$94K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strengthen data integrity and scientific defensibility through diligent QA/QC and methodological ... Willingness and ability to travel and work in remote locations and varying weather conditions.

Consultant, Aquatic Biologist

Smithers, BC · On-site +1

CA$73K - CA$94K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strengthen data integrity and scientific defensibility through diligent QA/QC and methodological ... Willingness and ability to travel and work in remote locations and varying weather conditions.

Consultant, Aquatic Biologist

Vancouver, BC · On-site +1

CA$73K - CA$94K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strengthen data integrity and scientific defensibility through diligent QA/QC and methodological ... Willingness and ability to travel and work in remote locations and varying weather conditions.

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

Hydrogeologist

Prince George, BC · On-site +1

CA$100K - CA$146K/yr

They emphasize science-driven, client-focused environmental solutions, built on collaboration and ... Choice of 100% remote or hybrid within any western regional offices. (Must already live in Canada.

Showing results 41-60

Remote Data Science information

See British Columbia salary details

$23.5K

$104.5K

$199.5K

How much do remote data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data science in British Columbia is $104,540.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $145,000.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are the most commonly searched types of Data Science jobs in British Columbia?

The most popular types of Data Science jobs in British Columbia are:

What are popular job titles related to Remote Data Science jobs in British Columbia?

For Remote Data Science jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in British Columbia look for?

The top searched job categories for Remote Data Science jobs in British Columbia are:

Infographic showing various Remote Data Science job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $104,540 per year, or $50.3 per hour.

Manager, Machine Learning Engineering

Clio

Vancouver, BC • Remote

CA$181K - CA$272K/yr

Full-time

Medical, Dental, Vision

Re-posted 1 hour ago


Job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing engineering organization. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact. This role is available to candidates across Canada and the US.

What your team does:

We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team's goal is to deliver an incredible experience to our customers. In the AI team at Clio, we use the latest in GenAI, and LLMs in particular, along with agentic systems, to build solutions that make our customers' work more streamlined and efficient, giving them more time to focus on their clients' needs. That means going beyond single-shot model calls: we design agentic workflows where models reason over context, use tools, and take multi-step actions on behalf of legal professionals, all grounded in a customer's real data.

A day in the life might look like:
  • Lead a team of ML engineers to bring state of the art AI to Clio's clients, spanning traditional ML models, GenAI, and agentic AI.

  • Guide the team in designing and shipping agentic systems, including retrieval, tool use, orchestration, and the evaluation frameworks that keep them reliable and safe in production.

  • Collaborate cross-functionally with MLOps engineering, product management, operations, and data science to identify new tooling for ML and LLM-driven features for Clio customers.

  • Work in an agile environment with our team of ML engineers, ML ops, and full stack developers across a variety of projects

  • Learn new things, challenge yourself, and hone your craft as an ML and infrastructure expert in a space that is moving fast

  • Participate in diverse projects and collaborate with multiple engineering teams across three countries.

  • Review and provide feedback on code, both from within your own team or across all of Clio.

  • Collaborate with teams across Clio to diagnose, understand, and solve problems, and to build solutions that may span many areas.

  • Teach and learn from those around you, providing constructive feedback and taking on feedback to help grow.

What you may have:
  • Experience in managing high performing teams.

  • Experience with technical evaluations of various ML and LLM products, vendors, out-of-the-box solutions, and conducting quick proof of concepts if necessary.

  • In-depth understanding of LLMs, GenAI, and the competitive landscape, including where the technology is heading.

  • Hands-on familiarity with building agentic systems, such as tool-calling agents, RAG pipelines, prompt and context design, and evaluating agent behavior at scale.

  • Experience in fine-tuning foundational models and/or training language models in-house.

  • Experience to manipulate, clean, and pre-process complex unstructured data for model development.

  • The ability to become fluent in new technologies quickly and work effectively in an ever-evolving environment that includes distributed teams and customers.

  • Demonstrated success in mentorship in software development, particularly using an Agile process and with large scale SaaS products.

  • A diverse base of knowledge that allows you to help your team solve complex technical problems.

  • A history of past projects (including notable successes and lessons learned).

  • Clear and concise communication skills and the ability to build high-trust relationships with fellow Clions and customers.

#LI-Remote

This role is a backfill for an existing position.

What you will find here:

Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance

  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.

  • Flexible time off policy, with an encouraged 20 days off per year.

  • $2000 annual counseling benefit

  • RRSP matching and RESP contribution

  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range for this role is $181,360 to $272,040 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated todiversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture atclio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.