Senior Data Scientist at Borrowell

About Borrowell:Borrowell is a Canadian company whose mission is to make financial prosperity possible for everyone. The first in Canada to offer free credit scores, Borrowell provides educational resources, monitoring, innovative digital tools, and personalized product recommendations to help people feel in control and optimistic about their financial future. Our data shows that Borrowell members reported up to a 100-point increase in their credit score after one year of using select Borrowell products.With more than 2.5 million members, Borrowell is one of the largest fintech companies in Canada. We’re proud to have been named as one of the Best Workplaces in Canada every year since 2019, Globe and Mail’s Top Growing Companies (2021), LinkedIn’s Top 15 Startups in Canada (2021), and CB Insights’ Top 250 Fintechs (2021).To support us on our mission, we’re building an exceptional team of high-performing yet humble individuals who believe Canadians deserve more choice when it comes to financial services.Put simply, we put people first. We place a high value on building a diverse and inclusive workplace and are proud to have a gender-balanced team. We know that diverse teams perform better; half of our team identify as women or non-binary.We’re always on the lookout for passionate and driven people. If you think you’d be a great fit at Borrowell, read on to learn more about us and how our business works!About the Role:As a Senior Data Scientist, you will play a key role in formulating the most suitable Machine Learning (ML) solutions through identifying new opportunities, then owning the end-to-end development of ML models (ideation, development, validation, and model monitoring). Alongside our robust Data Analytics and Data Engineering teams, you will work together to iterate existing models (such as product ranking), and build, test, then implement net-new models for projects involving customer personalization, retention, and quality of our product flow experience.During your first year, you can expect to: Identify gaps, understand business requirements, translate them into problem statements, then ideate and recommend data science solutions after thorough research Focus on Feature Engineering, Model Training, and Model Evaluation in addition to data munging/wrangling Identify the most fitting algorithms and statistical techniques for various projects, as well as the best features for models Set up and own post-deployment model monitoring Make business recommendations and effectively present the findings across various stakeholder levels  Past working experience building ML models for real-world problems  from ideation to implementation Comfortability with making business recommendations and presenting to stakeholders Demonstrated proficiency in one or more statistical programming languages for data science - we use Python Comfortability with writing complex SQL queries to extract and integrate data from multiple database sources Desire to learn and implement production deployment of ML models, if not experienced with it Nice to Haves: Bachelor's Degree (or equivalent experience) in a quantitative discipline Experience with production deployment Proficiency in SparkSQL, PySpark, and/or Azure Databricks Market knowledge in fintech, ecommerce, and/or social media   The Opportunity - have a major impact at a growing company that is helping make financial stability possible for everyone  Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family, with extra yearly coverage for psychotherapists and massage therapists  Additional Health Benefits - virtual benefit offerings that allow you to connect 24/7 with nurses, doctors and mental health professionals  Parental Leave Top-up - available to new parents  Wellness Benefit - $600 annually to spend on whatever brings you joy  WFH Reimbursement - we ship you gear like a laptop, mouse, keyboard, and you can reimburse additional items to make your workplace better for you  Employee Development Benefit - annual reimbursements on payments to help your learning  Givewell Benefit - 1 paid volunteer day a year to give back to the community  Flexibility - flexible working hours and a flexible vacation policy  90 Days Away Policy - you can travel to other countries and work outside of Canada for up to 90 days a year - so far, people have used this opportunity to visit Spain, Portugal, Costa Rica, Brazil, France, Italy, the Netherlands, and more We are remote-first across Canada, meaning you have no mandatory obligation to come in-office unless you choose to do so - you decide what is best for you. Our offices are located in Toronto and Kelowna, with teams distributed primarily in Ontario and BC. We do not intend on changing this remote-first status.At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you’re unsure about your qualifications for this position, we’d still encourage you to apply. We’re looking for candidates who have experience, but know that not everyone’s had a chance to demonstrate what they can do. What’s most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress.Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment.Borrowell encourages applications from candidates with differing abilities. Please let us know if you require accommodation at any stage in the selection process.Here at Borrowell, we stand in solidarity with Ukraine. We welcome all people making use of the Canada-Ukraine authorization for emergency travel (CUAET) program to apply and we will get back to you as soon as we can.#LI-Remote