Vancouver Bc Data scientist, private brand analytics Jobs – 104 Openings This Week

Senior Software Engineer II, Machine Learning
Narvar —Vancouver, BC
- $180,000–$230,000 a year
- Remote
- Computer Science
- Master's degree
- Databases
Quick apply
AI Business Data Analytics Instructor (Part-time)
Cumberland College —Surrey, BC
- From $50 an hour
- Part-time
- Microsoft Excel
- Azure
- Oracle
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3h
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
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2h

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Staff AI Engineer
Tangerine Bank —Toronto, ON
Proven experience in automated testing, including unit and functional testing, and the ability to develop test strategies and design automation frameworks.
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Thermo Fisher Scientific —Whitby, ON
Training or certification in data analytics, statistical analysis, or data science tools (e.g., Python, Minitab, Discoverant, JMP, PowerBI, or SAS).
$56,400–$84,600 a year
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Senior Software Engineer II, Machine Learning

Narvar -
Vancouver, BC

Quick apply

Job details

$180,000–$230,000 a year

Qualifications

TensorFlow
Statistics
Statistics
Computer Science
PyTorch
Spark
NumPy
NoSQL
Mathematics
Google Cloud Platform
Master's degree
Databases
SQL
Pandas
Machine learning
Natural language processing
Linux
Leadership
Communication skills
Python
Shell Scripting

Full job description

Narvar is growing! We are hiring a Senior Software Engineer II to build new products and improve all aspects of the Narvar platform. Data is at the core of our competitive advantage so the work you do has a large impact across the company, our business partners, and the lives of our end users.

Machine Learning Engineers at Narvar work across the stack. We are 'full-stack' ML Engineers. This means that we write production-level code and own machine learning operations for our teams.

Day-to-day

Design and deploy machine learning algorithms for use cases spanning e-commerce, consumer trends, markets, logistics, and new products
Work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc
Work with large unstructured data
Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through your work
Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies that the entire team use
Provide thought leadership to a team through high quality write-ups, reviews, and a strong vision grounded in practical experience and a wider industry view

What we're looking for

Strong machine learning skills.
Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages
Data Engineering skills and large data experience. You should have dealt with large amounts of data (TB) in a production setting, built world class data pipelines using cutting edge tools (e.g. Spark).
10+ years of hands-on experience shipping models to production, working on a variety of problem spaces (eg: user modeling, spam classification, prediction, clustering etc)
MS in Computer Science, Statistics, Math, Science (physical or social), Engineering or similar quantitative and computation field plus 5+ years of industry experience
Strong software engineering and coding skills with the ability to write production quality code
Strong understanding of probability & statistics, machine learning, and algorithms
Experience with SQL and NoSQL databases
Experience working with Linux, shell scripting
Previous startup experience strongly preferred

Bonus Points

Experience implementing applications on Google Cloud Platform
Experience with deep generative models or graph learning a plus.
Tag your application with your solution to an active / recently concluded Kaggle competition, to get ahead of the list :)
Experience leading a team of data and data scientists; Strong ability to multiply the effect of the team and the team members; excellent written communication; self-starter that can balance sophistication with practicality

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail's most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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data scientist, private brand analytics jobs in vancouver bc

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