Vancouver Bc Data scientist, private brand analytics Jobs – 103 Openings This Week

Staff Machine Learning Research Developer
D-Wave Quantum Inc. —Burnaby, BC
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- C++
Quick apply
Sr. Machine Learning Engineer, Amazon Traffic Engineering
Amazon Development Centre Canada ULC —Vancouver, BC
- $150,700–$251,700 a year
- Full-time
- Computer Science
- Bachelor's
- Machine learning
- Profit sharing
- Dental care
Intermediate Mining Data Analyst
MineSense —Vancouver, BC
- $90,000–$110,000 a year
- Full-time
- Hybrid work
- Spanish
- Engineering
- Data analysis skills
- Employee assistance program
Quick apply
Machine Learning Engineer (Energy) - MLEEAS
NavitasPartners —Vancouver, BC
- From $30 an hour
- Machine learning
- Python
- Analytics
Quick apply
12h
Machine Learning Engineer (BFSI) - MLEBAS
NavitasPartners —Vancouver, BC
- From $30 an hour
- Computer Science
- Master's degree
- SQL
Quick apply
12h
AI Staff Machine Learning Engineer, General AI, ML & Big Data
C-Serv —Vancouver, BC
- Hybrid work
- Computer science
- Azure
- Doctoral degree
- Dental care
- Paid time off
Quick apply
Principal Engineer, AI & ML Solutions
Royal Bank of Canada —Vancouver, BC
- Full-time
- APIs
- AI
- Python
Machine Learning Engineer
MobSquad —Vancouver, BC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Dental care
- Vision care
Summer Position - Data Analyst
First Nations Financial Management Board —Vancouver, BC
- $25 an hour
- Part-time
- Data analysis skills
- English
- SQL
- Flexible schedule
Quick apply
9d
Senior Product Manager, AI (eCommerce)
Cymax Group Technologies —Vancouver, BC
- $110,000–$120,000 a year
- Full-time
- Hybrid work
- Machine learning
- Product management
- AI
- Dental care
- Paid time off
Quick apply
Director of Enforcement
Impark Canada —Vancouver, BC
- $100,000–$120,000 a year
- Weekends as needed
- Hybrid work
- Bachelor's
- Team management
- Travel
- Disability insurance
- Dental care
Quick apply
17h
Sr Software Development Engineer (Full Stack) - Evisort AI
Workday —Vancouver, BC
- $140,000–$210,000 a year
- Full-time
- DevOps
- Java
- AWS
Engineering Manager, Machine Learning Platform and Infrastructure
DarkVision —North Vancouver, BC
- $150,000–$200,000 a year
- Computer Science
- DevOps
- Engineering
Adversarial Machine Learning Engineer
C-Serv —Vancouver, BC
- Research
- Databases
- APIs
- Life insurance
Quick apply
AI Application Developer
Fortinet —Burnaby, BC
- $107,000–$179,000 a year
- Full-time
- Computer Science
- DevOps
- Engineering
- Disability insurance
- Dental care
Staff, Machine Learning Engineer
Fullscript —Vancouver, BC
- Full-time
- Remote
- Engineering
- SQL
- Machine learning
- Paid time off
Quick apply
Marketing Advisor
Surbana Jurong Private Limited —Vancouver, BC
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
ML Engineer II (Inference Platform)
Beatdapp —Vancouver, BC
- Full-time
- Master's degree
- SQL
- AWS
Quick apply
7d
Senior Financial Data Analyst
Lululemon —Vancouver, BC
- $81,500–$122,300 a year
- Full-time
- Microsoft Excel
- Oracle
- Engineering
- Dental care
- Paid time off
Manager, US Corporate Tax
KPMG —Vancouver, BC
- $85,500–$128,500 a year
- Full-time
- Microsoft Excel
- Management
- Project management

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data scientist, private brand analytics jobs near vancouver bc

Staff Machine Learning Research Developer

D-Wave Quantum Inc.
Burnaby, BC

Quick apply

Job details

Full-time

Qualifications

TensorFlow
Doctoral degree
PyTorch
Master's degree
C++
Machine learning
APIs
Communication skills

Full job description

D-Wave (NYSE: QBTS), D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. We are the world’s first commercial supplier of quantum computers, and the only company building both annealing and gate-model quantum computers. Our mission is to help customers realize the value of quantum, today. Our quantum computers — the world’s largest — feature QPUs with sub-second response times and can be deployed on-premises or accessed through our quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations trust D-Wave with their toughest computational challenges. With over 200 million problems submitted to our quantum systems to date, our customers apply our technology to address use cases spanning optimization, artificial intelligence, research and more. Learn more about realizing the value of quantum computing today and how we’re shaping the quantum-driven industrial and societal advancements of tomorrow: www.dwavequantum.com.

You can read more about our company and our innovations in the pages of The Wall Street Journal, Time Magazine, Fast Company, MIT Technology Review, Forbes, Inc. Magazine, Wired and across many whitepapers.

At D-Wave, we’re helping customers realize the value of quantum computing today and are shaping the quantum-driven industrial and societal advancements of tomorrow.

About the role

D-Wave is seeking a Staff Machine Learning Research Developer to work alongside our researchers, solutions architects, and software developers specializing in various domains (e.g., combinatorial optimization, graph theory, and quantum physics).

As a senior member of the Machine Learning Development team, you will have the opportunity to influence our product offerings. You will lead the architectural design and development of our software to enable researchers and solutions architects to rapidly prototype and experiment with quantum machine learning methods. In parallel, you will research and develop machine learning methods exploiting the optimization, sampling, and quantum simulation capabilities of quantum computers.

We are looking for intrinsically motivated individuals who want to make technological and tangible impacts at the intersection of quantum computing and machine learning.

What you'll do

Help the team align on best practices for machine learning systems and infrastructures, research, and products
Design and develop software for machine learning methods using annealing quantum computers
Research and develop machine learning methods exploiting optimization, sampling, and quantum simulation capabilities of annealing quantum computers
Communicate with leadership to identify quantum machine learning opportunities
Consistently and comprehensively document research findings for potential publications and for building D-Wave’s internal knowledge base
Clearly and effectively communicate research findings and insights to other D-Wave teams
Influence and guide the quantum machine learning roadmap by providing technical feedback to leadership
Lead and deliver goals on the quantum machine learning roadmap
Quickly digest research papers, reproduce results, and prototype and develop novel quantum machine learning methods

What you'll bring

6+ years of professional experience in developing deep learning models
An advanced degree (MS/PhD) in a STEM field, or added years of deep industry experience
Algorithmic reasoning should be second nature (e.g., data structures and computational complexity)
Ability to quickly digest research papers and implement methods
A breadth of knowledge in generative machine learning paradigms (e.g., energy-based models, flow-based models, autoregressive models) complemented by a depth of knowledge in several subdomains
Strong problem-solving, communication, and collaboration skills

Nice to have

Familiarity with Monte Carlo methods (e.g., Metropolis-Hastings, Gibbs, parallel tempering and sequential Monte Carlo)
A solid understanding of Boltzmann Machines (i.e., Ising models, Markov random fields, exponential family distributions)
Familiarity with probabilistic graphical models
Familiarity with annealing and gate-based quantum computers
Expertise with C++ or other low-level programming languages
Contributions to open-source software
Familiarity with MLOps ecosystems (e.g., Kubeflow, VertexAI, Airflow)
-from architect to deployment
Expertise in building extensible APIs and frameworks around PyTorch (or, e.g., JAX and TensorFlow)

A D-Waver's DNA

We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.

Our Compensation Philosophy is Simple but Powerful:

We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team.

During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.

Inclusion:

We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave.

The Fine Print:

No 3rd party candidates will be accepted

It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.

The base pay range for this role is:

$146,182 - $219,273 CAD per year (Burnaby)

Quick apply

Refine Your Search

data scientist, private brand analytics jobs in vancouver bc

Staff Machine Learning Research Developer

Sr. Machine Learning Engineer, Amazon Traffic Engineering

Intermediate Mining Data Analyst

Machine Learning Engineer (Energy) - MLEEAS

Machine Learning Engineer (BFSI) - MLEBAS

AI Staff Machine Learning Engineer, General AI, ML & Big Data

Principal Engineer, AI & ML Solutions

Machine Learning Engineer

Summer Position - Data Analyst

Senior Product Manager, AI (eCommerce)

Director of Enforcement

Sr Software Development Engineer (Full Stack) - Evisort AI

Engineering Manager, Machine Learning Platform and Infrastructure

Adversarial Machine Learning Engineer

AI Application Developer

Staff, Machine Learning Engineer

Marketing Advisor

ML Engineer II (Inference Platform)

Senior Financial Data Analyst

Manager, US Corporate Tax

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