Lead Data Scientist - Canada

Very LLC; Canada; Remote; CAD 164,000 - 174,000; Full time

Job summary

A leading technology firm in Canada is seeking a Lead Data Scientist to oversee complex multi-faceted projects. The candidate will utilize expertise in algorithms and data science to deliver client-focused solutions. Responsibilities include designing and implementing end-to-end data pipelines while fostering collaboration with diverse teams. Competitive salary and robust benefits package offered, with the expectation of travel up to 10%.

Benefits

Group RRSP match (Employer contributes 4%)

Extended healthcare, dental, and vision insurance

$150 USD/mo cell/internet stipend

$500 USD/yr home office equipment stipend

Continuing education stipend ($2,500 USD/yr after one year)

Loaned MacBook Pro and other necessary equipment

Qualifications

• 5+ years of related experience in Data Science.
• Experience in deploying statistical or ML models to production.
• Strong written and spoken communication skills in English.

Responsibilities

• Architect, build and deploy reliable end-to-end data and ML pipelines.
• Estimate workload for complex, multi-disciplinary projects.
• Take ownership of data science components to ensure project success.

Skills

Expert-level communication skills

Python development related to Data Science

Formation of complex narratives

Education

Master’s degree in Data Science related field

Tools

SciPy Stack

GitHub Actions

AWS

Job description

About Very (Remote - Canada)

Very is a fully distributed technology firm led by expert problem-solvers who create efficient, scalable solutions that move commercial, industrial, and consumer products from pilot to production in record time.

We believe that real innovation happens in the grind — working shoulder to shoulder with clients who are building the future. Our team thrives on that energy. When we’re not helping clients deliver business-critical outcomes, we’re refining our craft and celebrating what it means to do hard things well.

We’ve built a collaborative, tight-knit culture that thrives in both remote and in-person settings. We’ve won numerous workplace awards over the years, including Great Place to Work certification and recognition from Parity.org as a Best Company for Women to Advance.

Our clients include well-known brands like Vizio, Peloton, Clear, iHeart Radio, and Fellowes — all determined to leverage connected devices and AI to drive meaningful impact. Our job is simple: help them win.

About This Role

As a Lead Data Scientist at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our client’s business needs, and reliable algorithms and machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in algorithms, machine learning and data science, strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth. Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building models for production systems.

A Lead at Very is an individual who operates with the highest degree of knowledge and accountability for the delivery of services to our customers. They provide excellent technical leadership and delivery skills, as it pertains to complex, multi-faceted projects at Very. They have a strong executive presence, which gives major client stakeholders the confidence that we will deliver, and gives our team the confidence and accountability to do so.

As a client services organization, travel may be required up to 10% of the time.

What You’ll Be Working On

At Very, there is a never-ending supply of variety to the projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging data science in a fast, predictable manner.

The exact nature of the projects you will be assigned to is unknown, however there is an immediate need for someone to lead projects related to machine vision on the edge. This includes running and fine‑tuning pretrained models such as YOLO on hardware ranging from RTOS on a NXP i.MX6 to Docker containers on a Jetson Orin NX. A strong understanding of managing the edge environment, the CI/CD pipeline and the related Azure or AWS infrastructure is also required.

Lead engineers also regularly serve as a sales solutions engineer and are entrusted by the commercial team to be their main technical partner for closing high value contracts. They will travel onsite with clients, fine‑tune deliverables/staffing plans, and otherwise do what it takes to close these contracts with terms that are conducive to successful delivery.

Our Current Tooling

Our contracts typically involve building a full greenfield IoT data pipeline and MLOps lifecycles. This extends from the IoT sensors and/or actuators, through any local networks, into the cloud, to the user interface and back again. In the context of data science, we typically leverage the following.

• Git, GitHub, or GitHub Actions (CI/CD), pytest (TDD)
• The standard SciPy Stack (Numpy, SciPy, Pandas, Scikit‑Learn, Matplotlib)
• Tools such as SQL/Postgres, Docker, MLFlow, PySpark, J and LangChain
• Jupyter notebooks for prototyping

Often the data pipeline extends to the cloud where we leverage the following cloud resources.

• AWS: Lambda, ECR/ECS, RDS, DynamoDB, IoT Core, Greengrass, SageMaker, Bedrock
• Azure: Functions, Container Registry/Instances, SQL Database, Machine Learning, IoT Hub
• 3rd party: Ultralytics, Tigerdata, Datadog, Peridio
• Terraform for Infrastructure-as-Code

On our full‑service builds, we often reach for the following tools. Experience with them is not required, but any familiarity with these tools is a plus. Our build teams operate with a very high degree of collaboration, so you will definitely have run‑ins with the following stacks throughout your time here.

• Python web development frameworks (Django, Flask)
• React & React Native

As an IoT technology company our data science pipelines include “Things”. This will require you to build pipelines and deploy analytical models to hardware on the edge in addition to the cloud. This requires a deep collaboration with the design, software and hardware teams in the following environments.

• Yocto, Linux and macOS development environments
• Embedded C and other lower level languages such as Rust
• CI/CD including hardware and end‑to‑end testing and verification
• Development Single‑Board Computers such as RPi, NVIDIA Jetson, NXP i.MX and Arduino Portenta

We value well‑tested, reusable code and expect our engineers to be as good of practitioners as they are leaders and teachers.

Responsibilities

Work with stakeholders (clients, sales, engineers & designers) to define Statements of Work (SoW)

• Communicate how Very can deliver value to the client
• Estimate quantity of work required to unlock this value for complex, multi‑disciplinary projects
• Identify related assumptions, risks and dependencies

Take ownership of the data science components and related systems to ensure project success

• Architect, build and deploy reliable end‑to‑end data and ML pipelines into production
• Ensure the highest level of testing across the full data pipeline and operating envelope
• Execute and document all algorithm verification testing for certification
• Build strong relationships with clients and understand their perspective
• Guide clients through the data science value chain
• Facilitate complex conversations to achieve alignment to drive positive outcomes

Continue to expand and evolve the Data Solutions (DS) practice at Very

• Provide technical guidance to DS and non‑DS team members
• Pairs with senior team members to develop their skills and deliver on projects
• Continually learn, share and refine your DS skills and knowledge
• Establish and enact DataOps and MLOps best practices

Take on the responsibility of Technical Lead on complex multi‑disciplinary projects

• Build reliable product roadmaps with technical implementation strategies
• Monitor and optimize the technical implementation and coordination of the project
• Identify and mitigate risks and seek assistance when required

Required Qualifications

Unfortunately, applicants who do not meet these criteria will NOT be considered.

Experience:

• Master’s degree in Data Science related field
• 5+ years of related experience
• Deployed statistical, ML or other analytical models to production on AWS
• Performed real‑time signal processing
• Lead teams with hardware and software engineers
• Worked directly with clients and partnered with sales and client success teams to secure new work
• Partnered with client success and senior executives ensure the success of current and future projects
• Strong written and spoken communication skills in English
• Expert‑level Python development skills related to Data Science including SciPy Stack, Scikit‑learn, Tensorflow or PyTorch
• Automated testing, code coverage, model building & evaluation
• GitHub CI/CD best practices including GitHub Actions and Terraform or CloudFormation
• Experience developing, compiling and deploying C, C++ or Embedded C software
• Proficient developing in Linux including light administration

Nice-to-have

• 7+ years of related experience including with connected devices
• Proficient in embedded real‑time signal processing
• Machine vision and automated speech recognition
• Deployment and monitoring of ML workflows to Nordic, NXP, NVIDIA or Intel hardware at the edge
• AWS Professional level certification
• Hands‑on experience with Single-Board Computers such as RPi

Skills:

• Communicates Effectively: Demonstrates expert-level communication skills. Communicates to inform, engage and inspire. Negotiates for positive outcomes with clients on complex projects.
• Influences broad audiences and creates compelling narratives around their ideas and why they are important.
• Demonstrates an expert level of knowledge and experience and as a result instills confidence in technical ability by team and clients.
• Takes calculated risks and shows a commitment to innovation that improves the business and tech community.
• Accurately estimates full scale engagements for Statements of Work, as part of the sales process.
• Leads people through our toughest program scenarios toward successful outcomes. Provides quick redirection when needed.

Compensation

CAD $164,000–$173,500 per year, commensurate with experience.

Variable Compensation: Up to 15%.

**Note: This role is based in Canada, you must have a valid work permit.
We do not sponsor work visas.

Perks & Benefits:

• Group RRSP match (Employer contributes 4% of your annual income)
• Extended healthcare, dental, and vision insurance
• $150 USD/mo cell/internet stipend
• $500 USD/yr home office equipment stipend
• Continuing education stipend ($2,500 USD/yr after one year)
• Loaned MacBook Pro and other necessary equipment

Why Work for Very

We do not promise an easy ride — we promise meaningful work.

We work hard because our clients’ success depends on it, and we take pride in delivering when others can’t. We collaborate closely, move fast, and stay grounded in results. We take joy in the process — in the problem‑solving, the iteration, and the shared wins that come from doing the hard things well.

If you’re looking for a place where every project matters, where the standards are high, and where you’ll grow by pushing yourself and others — welcome to Very.

Important:

Important: 1. We don't currently provide Visa Sponsorship. Don't apply if you require this.

Important: 2. This job is remote but if you’re not located in the region or country mentioned in the post’s title, do not continue. Your application won’t be reviewed.

Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another. No contractors or agencies. Seriously. #LI-Remote