Senior Data Scientist, Product

Summary

Join Shakepay's product and design team as a Senior Data Scientist and help shape the future of our products. You will work closely with product managers, collaborate with marketing teams, and partner with senior leadership to leverage your analytical skills and drive data-driven decision-making. Responsibilities include creating insights and recommendations, designing experiments, defining KPIs, developing machine learning models, monitoring performance indicators, and prioritizing product features. You will also contribute to improving internal data processes, conduct ad-hoc investigations, and drive the adoption of product analytics tools. This role requires 5+ years of experience as a Product Data Scientist, proficiency in SQL and Python, and a strong understanding of experimentation and A/B testing. Shakepay offers competitive benefits, including stock options, yearly salary assessments, comprehensive health and dental coverage, remote work options, a training budget, generous vacation time with a bonus, parental leave top-up, and team offsites.

Requirements

• 5+ years of experience working as a Product focused Data Scientist or similar roles
• Proficiency in SQL and Python for querying and manipulating data
• A demonstrated ability to manage and deliver on multiple projects with cross-functional teams and a high attention to detail
• Experience conducting deep-dive statistical analysis (modeling, causality, regression, etc)
• Willingness to learn and grow in a fast-paced environment
• Strong product sense and good understanding of experimentation and A/B testing concepts
• Solid understanding of dashboarding and data visualization tools (we use Preset and Metabase)

Responsibilities

• Work closely with the product managers to create insights and recommendations that inform roadmaps and product strategy
• Collaborate with product and marketing teams to design experiments and validate hypotheses quickly, measure the impact of changes effectively
• Partner with senior leadership to define top-level product KPIs, set success and guardrail metrics that reinforce a culture of accountability
• Develop and deploy machine learning models and apply causal inference techniques to uncover deep product insights, enabling data-driven decisions that improve user experience and product
• Monitor and analyze key performance indicators (KPIs) across different stages of the user journey to drive retention and user acquisition and activation strategies
• Contribute to the prioritization of product features and roadmaps based on ROI and long term goals
• Collaborate with other members of the data team to improve internal data process
• Conduct ad hoc investigations and make evidence-based recommendations
• Drive the adoption of our product analytics tool and lead initiatives to embed data-driven decision-making across the organization, promoting a culture of experimentation

Preferred Qualifications

• Startup experience
• Bonus points for B2C fintech experience
• Experience with experimentation and product analytics platforms like Statsig (which is what we use), Amplitude, Posthog, or others
• Experience working with dbt, cloud data warehouses (we use Snowflake)
• Bonus points if you are existing Shakepay customer and/or familiar with the product
• Interest and enthusiasm for the possibilities enabled by Bitcoin and non-sovereign money

Benefits

• Be an owner - Every employee has stock options as part of their total compensation
• Reach your goals - Yearly salary assessments
• Health & wellness : Access to comprehensive health and dental coverage, including health and wellness spending accounts
• Remote-friendly : Work from anywhere in Canada, with optional access to our office spaces in Montreal and Toronto
• Level Up : A $2,000 annual budget for courses, certifications, and training to support your career growth
• Time off : 20 days of vacation per year. And if you use all your vacation, we give you a $1,000 bonus
• Parental leave : Enjoy a parental leave top up to 100% of your salary for 18 weeks
• Have fun together: quarterly team-specific or company-wide offsite to connect with each other