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Remote Data Science Jobs in British Columbia (NOW HIRING)

ALS

Geodata Scientist

Vancouver, BC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Effective collaboration with multidisciplinary teams of geologists, geophysicists, geochemists, and data scientists. * Process, analyze, and interpret geophysical, geological, geochemical, remote ...

ProCogia

Epicor ERP Consultant (SME)

Vancouver, BC · Remote

We partner with them by embedding expert data science, engineering, and AI talent directly into ... This is a fully remote role, with the ideal candidate being based out of BC, Alberta, or Ontario ...

Cognitiv

Staff Software Engineer, Big Data

Vancouver, BC · On-site +1

  • Medical

  • PTO

... remote flexibility on Thursday and Friday. Your Impact In this role, success is measured by the ... Lead complex, cross-functional programs spanning Data Engineering, Machine Learning, Science, and ...

Slrconsulting

Air Quality Scientist/ Engineer

Vancouver, BC · On-site +1

CA$80K - CA$110K/yr

  • PTO

Data management, quality control and processing of air quality and meteorological data * Prepare ... Conduct fieldwork in remote sites Working @ SLR With us, there is no doubt you'll grow your subject ...

Slrconsulting

Air Quality Scientist/ Engineer

Kelowna, BC · On-site +1

CA$80K - CA$110K/yr

  • PTO

Data management, quality control and processing of air quality and meteorological data * Prepare ... Conduct fieldwork in remote sites Working @ SLR With us, there is no doubt you'll grow your subject ...

Slrconsulting

Air Quality Scientist/ Engineer

Kamloops, BC · On-site +1

CA$80K - CA$110K/yr

  • PTO

Data management, quality control and processing of air quality and meteorological data * Prepare ... Conduct fieldwork in remote sites Working @ SLR With us, there is no doubt you'll grow your subject ...

Clir

General Applications

Vancouver, BC · On-site +1

  • Medical

  • Dental

If you are passionate about Customer Success, Business Development, Data Science, Project Engineers ... Headquartered in Vancouver, with hubs in Glasgow and Calgary, we're a remote company with employees ...

Emmes

Sr. Biostatistician - Remote Canada

Vancouver, BC · On-site +1

At Emmes Group, we bring People, Science, and Technology together to collaborate with our customers ... data. * Keeps abreast with current statistical and medical literature to ensure that sound ...

veritree

Project Manager, Mangroves

Vancouver, BC · On-site +1

  • Medical

  • Dental

  • Vision

... science, and remote sensing. You will run the day-to-day relationship with our biggest planting partner, ensuring high-quality data is collected, monitoring is on track, and build and refine the ...

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Showing results 21-40

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in British Columbia

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.
More about Remote Data Science jobs

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:

Remote Data Science jobs near you
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.

Staff Software Engineer, Big Data

Cognitiv

Vancouver, BC • On-site, Remote

Full-time

Re-posted 25 days ago

Job description

Are you ready to revolutionize the advertising industry?
At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale.
With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.
Now, we're growing!

The Role

As a Staff Software Engineer, Big Data, you will define and drive the long-term technical direction of the data platform that powers Cognitiv's AI-driven advertising products. You will lead the architecture and evolution of critical data systems spanning ingestion, warehousing, machine learning feature generation, identity resolution, and activation at massive scale.

As a senior technical leader, you will identify systemic challenges, align teams around durable solutions, and drive complex initiatives that span engineering, science, machine learning, and product organizations. Your work will shape the scalability, reliability, and strategic capabilities of Cognitiv's data platform for years to come.

Location: Our Vancouver office will open on September 1 in Mount Pleasant. The Founding Engineering team will work remotely through the summer. Starting September 1, the role will transition to a hybrid model: in-office Monday-Wednesday, with remote flexibility on Thursday and Friday.

Your Impact

In this role, success is measured by the durability of your technical solutions, the health of the data platform, and your influence across the engineering organization. You will:

  • Lead Platform Architecture: Define and evolve the architecture of Cognitiv's large-scale data platform, ensuring ingestion, storage, processing, and serving systems can scale to support future business growth, AI initiatives, and increasing data volumes.
  • Drive Multi-Team Data Initiatives: Lead complex, cross-functional programs spanning Data Engineering, Machine Learning, Science, and Product teams. Align stakeholders, reduce execution risk, and deliver outcomes that improve platform capabilities across the organization.
  • Shape Long-Term Technical Direction: Evaluate architectural tradeoffs with a 3–5 year horizon, establish technical standards and paved-road solutions, and drive modernization efforts that improve scalability, reliability, developer productivity, and operational efficiency.
  • Elevate Reliability and Operational Excellence: Lead architecture reviews, failure-mode analysis, and incident retrospectives. Establish mechanisms to proactively identify, prioritize, and reduce technical risk across critical data systems.
  • Own Cost and Efficiency at Scale: Treat cost as a first-class architectural dimension for a multi-petabyte data platform. Lead cost vs. performance tradeoff decisions across storage tiering, compute, file layout, and data movement, and build the visibility and guardrails that let teams reason about unit economics when they design systems.
  • Advance Data and ML Platform Capabilities: Guide the evolution of foundational systems including the identity graph, ML feature platform, feature projection infrastructure, warehouse architecture, and large-scale distributed processing frameworks.
  • Partner on Strategic Priorities: Collaborate with Engineering, Product, Science, and Machine Learning leadership to align platform investments with business objectives, balancing technical debt, platform health, and product velocity.
  • Grow Engineering Talent: Mentor senior engineers and emerging technical leaders. Raise engineering standards through design reviews, architectural guidance, technical artifacts, and thoughtful coaching.

Tech Stack: Java/Python, Spark, Flink, Kafka, Iceberg, ClickHouse, and AWS services (EMR, EKS, S3)

Who You Are

  • Staff-Level Technical Leader. You bring 10+ years of experience building and evolving large-scale distributed systems, data platforms, or backend infrastructure, with a track record of influencing technical direction beyond a single team.
  • Expert in Big Data Systems. You have deep experience designing and operating large-scale data processing platforms using technologies such as Spark, Kafka, Flink, Iceberg, ClickHouse, or similar distributed systems.
  • Architectural Thinker. You have led architectural decisions for complex systems and can balance scalability, performance, reliability, maintainability, and business needs when making technical tradeoffs.
  • Cross-Team Influencer. You have successfully driven complex initiatives across multiple teams and functions, aligning stakeholders around durable technical solutions without direct authority.
  • Cloud-Native Systems Builder. You have extensive experience building and operating data-intensive systems in cloud environments such as AWS, Azure, or GCP.
  • Strategic Problem Solver. You identify systemic technical challenges, proactively create solutions, and drive execution with minimal guidance.
  • Mentor and Multiplier. You elevate the effectiveness of engineers around you through mentorship, technical leadership, and establishing engineering best practices.
  • Exceptional Communicator. You effectively communicate technical strategy, architectural decisions, and tradeoffs to engineering leaders, product stakeholders, and executive audiences.

Bonus Points If You Have

  • Experience designing, scaling, and maintaining petabyte-scale data platforms
  • Expertise in distributed systems architecture and large-scale data processing
  • Experience building ML infrastructure, feature stores, or feature engineering platforms
  • Experience driving platform modernization or data architecture transformations
  • Experience operating in high-growth startup or scale-up environments
  • Deep familiarity with Flink, ClickHouse, Kafka, Iceberg, or similar modern data technologies

What We Offer

At Cognitiv, we believe great work happens when people feel supported, challenged, and empowered to grow. Our Vancouver team receives a competitive total rewards package that includes extended health benefits, paid parental leave, unlimited PTO, Work-From-Anywhere August, equity, RRSP matching, wellness and cell phone stipends, daily team lunches, and a hybrid work environment. We also invest deeply in career development through clear advancement paths and comprehensive onboarding via Cognitiv University — plus additional perks designed to support both your professional and personal wellbeing.

Salary: $170,000 - $240,000 CAD Base Salary + Equity

What We Offer
Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you'll also receive equity and a comprehensive benefits package.
Highlights include:
  • Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees
  • 12 weeks paid parental leave + 4 weeks WFH
  • Unlimited PTO + Work-From-Anywhere August
  • Career development with clear advancement paths
  • Equity for all employees
  • Hybrid work model & daily team lunch
  • Health & wellness stipend + cell phone reimbursement
  • 401(k) & RRSP with employer match
  • Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits
  • Employee Assistance Program
  • Comprehensive onboarding (Cognitiv University)
  • …and more!
What You'll Find at Cognitiv
  • Festiv – We make work fun with cross-team games, events, and creative team bonding.
  • Responsiv – You'll be close to clients and leadership, influencing real outcomes.
  • Inclusiv – Diversity and individuality are celebrated across all levels.
  • Inventiv – We reward curiosity and embrace bold ideas.
  • Transformativ – We support your growth with training, mentorship, and flexibility.
  • Collaborativ – We operate across coasts, connected by purpose and teamwork.
Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.
Note on AI Use: Cognitiv may use AI technology to assist with certain administrative aspects of the hiring process, such as note-taking, interview documentation, and reporting. However, every resume and application is reviewed directly by our recruiting team. AI tools are used solely for operational support and do not influence candidate evaluation or hiring decisions.