Overview About Flipp 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—guide behaviours we expect, reward, and hold ourselves accountable to. 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 doFraming 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 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 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 and game theory 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 doing quantitative analysis 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 perks, 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. Canada Hiring Range: $160,000—$180,000 CAD Additional Information Flipp is an equal chance employer. We do not discriminate on the basis of race, color, ancestry, religion, creed, sex, national or ethnic origin, sexual orientation, age, citizenship, marital status, family status, disability, or 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. #J-18808-Ljbffr

📌 Senior Machine Learning Engineer - C$160,000 - C$180,000 A Year - Remote (Toronto)
🏢 Flipp
📍 Toronto