Data Scientist

About Welbi

At Welbi, we're improving the quality of life of older adults like our parents and grandparents. We do this by transforming the way front-line workers in senior living communities provide care to them every day.

To learn more about us how we started, the problems we solve, and how we are helping seniors live more fulfilled lives watch the Welbi story below:

VIDEO:Welbi Story

Were backed by some of the biggest names in the senior living industry, and we are building a team of curious, customer-obsessed, collaborative, high performers who take pride in the fact that our work improves the quality of life of millions of seniors across North America. If that sounds like it might be a good fit for you, please keep reading.

About the role

We are looking for a Data Scientist who is passionate about their craft and the impact their work can have. Youre someone who thrives on solving complex problems through data and understands the importance of a customer-first mindset. In this role, youll work across the entire data stack to design and implement solutions that improve our products and provide meaningful impact to our users.

As our first data hire, youll have the autonomy and responsibility to build foundational systems. Your contributions will directly shape our data strategy and empower our team to help tens of thousands of front-line workers and improve the quality of life of millions of seniors.

Please note - we will start reaching out to candidates to coordinate the next steps in the hiring process on Monday, February 3rd.

What you will be working on

• Drive Key Decisions: Apply analytical, statistical, and technical skills to uncover insights that guide business strategies, product decisions, and actions
• Build Scalable Data Systems: Design and implement efficient data pipelines and warehouses to collect, organize, and manage diverse sets of structured and unstructured data
• Develop Predictive Solutions: Build, train, deploy, and fine-tune machine learning models to predict outcomes, optimize workflows, and improve product functionality
  
• Enable Personalization: Design and implement recommendation systems that analyze user data to deliver tailored actions
• Track and Evaluate Performance: Define, monitor, and analyze critical product performance indicators to assess the impact of new and existing features
• Collaborate with Teams: Work closely with product managers, software developers, and other stakeholders to integrate and enhance data-driven processes within our existing systems
• Communicate Insights: Present complex findings in clear, non-technical formats to internal and external stakeholders, ensuring they translate into actionable outcomes
• Documentation and Knowledge Sharing: Creating clear documentation for data pipelines, models, and workflows to ensure the team can maintain and expand on the work
• Work Autonomously: Take ownership of projects, prioritize tasks effectively, and deliver high-impact results that align with the companys mission in a fast-paced, startup environment
  
  

Helping you grow & succeed

At Welbi, we truly believe in empowering each member of our team to help them grow both professionally and personally. This means that you will:

• Make a Difference: Your work matters. Youll be free from bureaucracy and unnecessary paperwork to focus on impacting as many seniors' lives as possible
• Grow & Learn: Youll have the opportunity for endless career growth. To set you up for success, youll have access to internal and external resources, mentorship, and workshops
• Be Heard & Have A Say:You will have space to voice your ideas and opinions to make changes. We are all part of the Welbi decision-making process
• Meet Friends for Life: Being on such a small team, were close-knit. We genuinely care about each other and celebrate our successes together

What we offer

• Competitive salary, based on extensive external benchmarking
• Two (2) Weeks of vacation, used anytime
• Five (5)days for personal use, including sickness, wellness, and family needs
• Five (5) daysof office closure, during the holiday season
• Health benefits from Day 1, so you dont need to wait to go to your dentist appointment
• Remote-first hybrid environment; we have team members spread across Canada and an office in Ottawa when you need it
• Flexible working stylethat focuses on productivity and results, not the amount of time youre online. If you communicate, attend your meetings, and perform your job, we dont care where it happens
• Employee ownership; As an early-stage startup, we know how critical every single hire we make is at this stage. After 4 months of employment, our Board of Directors grants every single employee Options in Welbi
• Mentorship & professional developmentto help you stay a subject matter expert in your field via guidance from industry leaders, as well as comprehensive external programs and peer groups with incubators likeInvest OttawaandMaRS.
• Autonomy & impactis prevalent at all levels of Welbi. There are no cogs in our wheels everyone is included in discussions that impact their role and has the opportunity to speak their minds
• A culture beyond words on a wallwith an emphasis on bringing the team together every single month for company-wide social events & lunches, team socials, quarterly cultural awards, and a constant emphasis on growth & development
  

What you bring

• Experience: 3 years of experience in data science, with a proven track record of building and deploying machine learning models and data pipelines in a startup ambiguous environment
• Technical Expertise: Proficiency in SQL, Python (or similar languages), and cloud platforms like AWS, with extensive experience in ML and LLM frameworks for handling both structured and unstructured data
• Scalable and Cost-Efficient Design: Proven ability to design data systems and pipelines that scale seamlessly with increasing data volume and user base while optimizing for cost efficiency
• Analytical Mindset: Strong ability to analyze complex datasets, identify patterns, and translate findings into actionable insights that drive product and business outcomes
• Collaboration: Proven experience working closely with product managers, software developers, and other stakeholders to align data processes with business goals
• Communication: Excellent ability to present technical findings in simple, clear, and impactful ways to both technical and non-technical audiences
• Autonomy: A self-starter who thrives in a fast-paced, startup environment, capable of owning projects and delivering high-impact results with minimal oversight
• Customer First Mentality: Curious, thoughtful, and solution-oriented; you are a skilled problem-solver and always driven to understand what is important to the customer
• Problem-Solving: A creative and curious approach to tackling problems, with a focus on customer-first solutions
• Documentation: Commitment to maintaining clear and organized documentation to ensure scalability and knowledge sharing
  

Like what you read but not sure if you check ALL of our boxes? We still encourage you to apply.Research showsthat female-identifying candidates screen themselves out of consideration and apply to 20% fewer jobs than those who are male-identifying. As an inclusive employer whose team is composed of over 50% female-identifying employees, we value applicants with diverse backgrounds, journeys, and profiles. If you feel like youd be a good fit, please send us your resume.