Senior Machine Learning Engineer

Flipp; Remote; CAD 160,000 - 180,000; Full time

Job summary

A leading retail technology firm in Canada is looking for a Data Scientist to enhance decision-making through machine learning and statistical solutions. The role involves mentoring, conducting advanced analyses, and presenting experiment results to product teams. Candidates should have over 4 years of experience, proficiency in programming languages like Scala and Python, and a Bachelor's degree in a quantitative field. The position offers a salary range of CAD 160,000 - 180,000, aimed at driving innovation in shopping experiences.

Benefits

Flexible work environment

Career growth opportunities

Diverse and inclusive workplace

Qualifications

• 4+ years of relevant experience in data science focused on machine learning.
• Deep knowledge in data mining and machine learning.
• Ability to communicate results of analysis clearly.

Responsibilities

• Framing and evaluating experiment results.
• Perform advanced analyses of user behaviour.
• Oversee and maintain statistical or machine learning solutions.

Skills

Machine learning

Data visualization

Statistical analysis

Scala

Python

Spark

R

Empirical research

Recommendation systems

Education

Bachelor's Degree in Computer Science, Math, Physics, Engineering, or related field

Tools

Spark

Scala

Python

R

Job description

Overview

Flipp partners with the largest North American retailers and brands to deliver local promotions and savings to millions of engaged shoppers daily, driving superior returns on investments.

We help people make smarter shopping decisions with autonomy and accountability. With rising living costs, Flipp's mission is crucial. Our Shopper Consideration Platform allows retailers and manufacturers to create digital experiences from their savings & deals content, aiding shoppers in deciding what to buy and where to buy it. Together, we make a difference.

Our five principles, Progress Over Perfection, Clarity Through Transparency, Learn Loudly, Challenge with Empathy, and Always Build Better, bring a relentless progress mindset to life. They’re not just slogans, but they’re the behaviours we expect, reward, and hold ourselves accountable to. You'll be equipped to make an impact, realize your potential, and stay inspired every step of the way.

Flipp's Machine Learning Engineering team develops and deploys machine learning models and algorithms to enable systems to learn from data, make predictions, and automate decision-making processes, driving innovation and efficiency across various domains.

Work with the Product, Engineering, and Analytics teams to further the use and understanding of data across the organization. Create capabilities and analyses that can be leveraged to further the overall strength of data products and data driven decision making across Flipp. Mentor machine learning scientists while raising the standard for machine learning amongst the team.

What you'll get the opportunity to do

Framing and evaluating experiment results in order to inform product owners of current or future data science capability impact.

Communicating experiment results and opportunities to product teams. Provide consultation and education to product teams to increase buy-in on data-driven collaboration opportunities.

Perform advanced analyses of user behaviour and operational content data to identify and understand data science opportunities, frame problems, and prototype solutions that drive key business metrics from an ambiguous problem space. Data Science Modeling.

Oversee, design, build and maintain key statistical or machine learning solutions to advance product features or augment analyses for decision making.

Oversee, design and develop prototypes and approaches that leverage advanced statistical and machine learning algorithms including recommendation systems, bayesian statistics, segmentation, NLP and deep learning.

Mentoring junior/intermediate machine learning scientists in their learning and development. Providing guidance to team members in problem framing, technical approach and code by providing engaged and constructive feedback with an ownership mindset to all work quality that is output by the team.

Providing support to the data science leadership team in identifying potential challenges and discussing optionality to overcome them.

Effectively building and communicating technical strategies with built-in optionality to leadership by leaning on skills in scenario analysis, understanding of game theory and by considering the implications of strategic choices.

What you'll bring to the team:

Bachelor's Degree in Computer Science, Math, Physics, Engineering, or related quantitative field

4+ years of relevant experience in data science focused on machine learning or similar field

Experience in working with Scala, Spark, Python, R and related big data technologies

Experience with large data sets and distributed computing (Spark)

Experience constructing data models using predictive analytics & strong statistics knowledge

Experience with recommendation systems & personalization

Ability to initiate and drive projects to completion with minimal guidance

Ability to communicate the results of analysis

Strong passion for empirical research and data driven decisions

Deep knowledge in data mining and machine learning

Data visualization experience to present findings at the appropriate level of detail for product teams.

How We Support You

Our Total Rewards philosophy is to ensure that you are rewarded for impact, take part in accelerated career growth, thrive with highly flexible benefits, and are empowered to do your best work in a remote-first environment. In alignment with our overall Total Rewards Philosophy, we believe compensation should be fair, clear, consistent, and aligned to growth.

$160,000 - $180,000 CAD

Our promise to each other

What we bring

What you bring

• An inclusive, collaborative environment where your voice matters
• The tools and opportunities you need to grow and develop
• Every opportunity to own your success
• Your authentic self, every day
• Your best work, from anywhere
• An appetite for learning, curiosity, and a growth mindset
• Motivation, initiative and the mind of an entrepreneur

Here's how to apply

This position is currently vacant and open for applications. If you’re interested in working with us on the future of shopping, please submit your application. Growth potential and attitudes are equally important. We are committed to diversity in thought and life experiences.

Flipp is an equal opportunity employer. We do not discriminate based on race, color, ancestry, religion, creed, sex, national or ethnic origin, sexual orientation, age, citizenship, marital status, family status, disability, gender identity or expression, or any other protected grounds. We are proud to be a welcoming space for employees of every background to bring their whole selves to work with confidence. Flipp is committed to providing appropriate accommodations to ensure our selection process is equitable, and such accommodations can be made available on request. If you require an accommodation, please contact your dedicated recruiter directly.

Hiring is a deeply human process; therefore, we use AI in limited, administrative ways to help streamline our hiring process. An AI-powered scheduling tool assists with coordinating interviews, and our applicant tracking system may use AI to identify relevant keywords within applications. We do not use AI to assess your application, make hiring decisions, or conduct interviews. All evaluations are completed by real people.

A member of our recruitment team will respond to you in the coming weeks.

Note: This refined description removes interactive form fields and extraneous boilerplate that does not affect the core responsibilities, qualifications, or policy statements.