Senior Data Scientist, Sales

Wealthsimple Technologies; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health benefits and life insurance

Employer retirement match

Generous vacation and wellness days

Hybrid team across North America

Job summary

Wealthsimple is seeking a Senior Data Scientist to lead high-priority initiatives in the Sales Data team, building scalable data models and production ML solutions.

You will partner with Data Science, Commercial Leadership, Sales Ops, Product, Design, and Engineering to design experiments, deliver dashboards, and present insights to senior stakeholders.

This hybrid role in North America offers strong health benefits and opportunities to mentor teammates while shipping market-ready models.

Qualifications

• 5+ years of experience in data science or decision science leading domain projects.
• Strong SQL and Python skills with practical data pipeline tooling experience.
• Experience communicating results to senior leadership.
• Understanding of business practices, sales, and client behavior.
• Experience with A/B testing or experimentation in industry.

Responsibilities

• Build and maintain data models that are accurate and reliable.
• Define, prototype, implement and improve ML models.
• Design experiments to test hypotheses and focus outbound efforts.
• Build and maintain reports, dashboards, and metrics for north star metrics.
• Collaborate with Data Science, Commercial Leadership, Sales Ops, Product, Design, and Engineering.

Skills

SQL

Python

Data modeling

ML / machine learning

Stakeholder management

Reporting & dashboards

Education

Bachelor's degree in a related field

Tools

dbt

Airflow

Job description

Build something people love

Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $125 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.

We’re proud of what we’ve built — and we’re just getting started. Read our Culture Manual and learn more about how we work.

The Sales Data team is responsible for supporting the entire Commercial team through data modeling, pipelining, dashboarding, experimentation, analyses, and machine learning models. Our stakeholder teams are diverse, including Financial Planners & Advisors, Business Development Representatives, our AI Voice Agent team, Revenue Operations and Commercial Systems.

We are looking for a Senior Data Scientist who has strong foundations in data modeling and machine learning to lead high priority initiatives, take ownership as a decision science expert, and help shape the direction of our Commercial team and our AI Voice Agent program.

Some of your projects may include: modeling sales data, creating and improving reporting for business stakeholders, exploratory data analysis to improve our sales processes, and developing and maintaining ML models. Our models are used to solve real business problems and directly impact Wealthsimple’s north star metric. Therefore, experience with supporting sales is a bonus.

In this role, you will have the opportunity to:

• Build and maintain new data models that are accurate and reliable




• Work closely with a wide range of stakeholders from Data Science, Commercial Leadership, Sales Operations, Product, Design, and Engineering




• Define, prototype, implement and improve ML models




• Design experiments to test hypotheses (e.g. which customers should we focus on in our outbound calls)




• Build/maintain reports, dashboards, and metrics to support our north star metrics




• Teach and learn from their teammates. We value making others successful

What you bring:

• 5+ years of experience in a data science/decision science (or equivalent), including time as the primary DS for a domain




• Excellent SQL & Python skills - hands-on experience with data pipeline tools such as dbt and Airflow are an advantage




• Strong stakeholder management skills - an excellent communicator who is able to present results and analyses to senior leadership




• Good understanding of business practices, sales, and client behavior




• Experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting




• Understanding of fundamental machine-learning algorithms and experience putting them into production in a real-world context




• Experience in managing/mentoring team members in a formal or informal capacity

Why Wealthsimple?

Top-tier health benefits and life insurance

Long-term group savings with employer match, through Wealthsimple for Business

20 vacation days, 4 wellness days, and unlimited sick and mental health days per year

90 days away: work outside Canada for up to 90 days per year

Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS

We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you’ll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.

ICYMI

Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we’re always looking for better ways to work — whether that’s new tools, AI, or rethinking how we approach a problem. We don’t expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we’re building.

Inclusion Statement: We’re building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement: We’re committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we’ll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.

AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don’t replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.