Data Science ManagerLocation: Canada | EST Hours Required Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll DoDesign and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scalesDefine success metrics, monitor production models, and iterate until business results improveHire, coach, and develop data scientists; set a high bar for ownership, craft, and impactPartner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutionsMake pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For6+ years building and deploying consumer-facing ML systems in production2+ years leading or managing data scientists or ML engineersExperience building teams, not just operating as an ICStrong Python skillsExperience with Databricks or similar ML platformsComfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoringProven ability to translate ambiguous business problems into measurable ML outcomesStrong bias toward shipping, iteration, and impactSound judgment on when to ship an MVP vs. invest in robustnessActively uses AI tools to accelerate development and expects the same from their team
Nice to HaveExperience with experimentation platforms or causal inferenceBackground in subscription or SaaS businessesFamiliarity with TypeScript or production engineering practices
Data Science ManagerLocation: Canada | EST Hours Required Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll DoDesign and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scalesDefine success metrics, monitor production models, and iterate until business results improveHire, coach, and develop data scientists; set a high bar for ownership, craft, and impactPartner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutionsMake pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For6+ years building and deploying consumer-facing ML systems in production2+ years leading or managing data scientists or ML engineersExperience building teams, not just operating as an ICStrong Python skillsExperience with Databricks or similar ML platformsComfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoringProven ability to translate ambiguous business problems into measurable ML outcomesStrong bias toward shipping, iteration, and impactSound judgment on when to ship an MVP vs. invest in robustnessActively uses AI tools to accelerate development and expects the same from their team
Nice to HaveExperience with experimentation platforms or causal inferenceBackground in subscription or SaaS businessesFamiliarity with TypeScript or production engineering practices
Data Science ManagerLocation: Canada | EST Hours Required Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll DoDesign and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scalesDefine success metrics, monitor production models, and iterate until business results improveHire, coach, and develop data scientists; set a high bar for ownership, craft, and impactPartner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutionsMake pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For6+ years building and deploying consumer-facing ML systems in production2+ years leading or managing data scientists or ML engineersExperience building teams, not just operating as an ICStrong Python skillsExperience with Databricks or similar ML platformsComfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoringProven ability to translate ambiguous business problems into measurable ML outcomesStrong bias toward shipping, iteration, and impactSound judgment on when to ship an MVP vs. invest in robustnessActively uses AI tools to accelerate development and expects the same from their team
Nice to HaveExperience with experimentation platforms or causal inferenceBackground in subscription or SaaS businessesFamiliarity with TypeScript or production engineering practices
Data Science ManagerLocation: Canada | EST Hours Required Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll DoDesign and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scalesDefine success metrics, monitor production models, and iterate until business results improveHire, coach, and develop data scientists; set a high bar for ownership, craft, and impactPartner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutionsMake pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For6+ years building and deploying consumer-facing ML systems in production2+ years leading or managing data scientists or ML engineersExperience building teams, not just operating as an ICStrong Python skillsExperience with Databricks or similar ML platformsComfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoringProven ability to translate ambiguous business problems into measurable ML outcomesStrong bias toward shipping, iteration, and impactSound judgment on when to ship an MVP vs. invest in robustnessActively uses AI tools to accelerate development and expects the same from their team
Nice to HaveExperience with experimentation platforms or causal inferenceBackground in subscription or SaaS businessesFamiliarity with TypeScript or production engineering practices
Data Science ManagerLocation: Canada | EST Hours Required Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll DoDesign and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scalesDefine success metrics, monitor production models, and iterate until business results improveHire, coach, and develop data scientists; set a high bar for ownership, craft, and impactPartner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutionsMake pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For6+ years building and deploying consumer-facing ML systems in production2+ years leading or managing data scientists or ML engineersExperience building teams, not just operating as an ICStrong Python skillsExperience with Databricks or similar ML platformsComfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoringProven ability to translate ambiguous business problems into measurable ML outcomesStrong bias toward shipping, iteration, and impactSound judgment on when to ship an MVP vs. invest in robustnessActively uses AI tools to accelerate development and expects the same from their team
Nice to HaveExperience with experimentation platforms or causal inferenceBackground in subscription or SaaS businessesFamiliarity with TypeScript or production engineering practices
Data Science ManagerLocation: Canada | EST Hours Required Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll DoDesign and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scalesDefine success metrics, monitor production models, and iterate until business results improveHire, coach, and develop data scientists; set a high bar for ownership, craft, and impactPartner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutionsMake pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For6+ years building and deploying consumer-facing ML systems in production2+ years leading or managing data scientists or ML engineersExperience building teams, not just operating as an ICStrong Python skillsExperience with Databricks or similar ML platformsComfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoringProven ability to translate ambiguous business problems into measurable ML outcomesStrong bias toward shipping, iteration, and impactSound judgment on when to ship an MVP vs. invest in robustnessActively uses AI tools to accelerate development and expects the same from their team
Nice to HaveExperience with experimentation platforms or causal inferenceBackground in subscription or SaaS businessesFamiliarity with TypeScript or production engineering practices
Data Science ManagerLocation: Canada | EST Hours Required Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll DoDesign and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scalesDefine success metrics, monitor production models, and iterate until business results improveHire, coach, and develop data scientists; set a high bar for ownership, craft, and impactPartner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutionsMake pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For6+ years building and deploying consumer-facing ML systems in production2+ years leading or managing data scientists or ML engineersExperience building teams, not just operating as an ICStrong Python skillsExperience with Databricks or similar ML platformsComfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoringProven ability to translate ambiguous business problems into measurable ML outcomesStrong bias toward shipping, iteration, and impactSound judgment on when to ship an MVP vs. invest in robustnessActively uses AI tools to accelerate development and expects the same from their team
Nice to HaveExperience with experimentation platforms or causal inferenceBackground in subscription or SaaS businessesFamiliarity with TypeScript or production engineering practices
Data Science ManagerLocation: Canada | EST Hours Required Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll DoDesign and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scalesDefine success metrics, monitor production models, and iterate until business results improveHire, coach, and develop data scientists; set a high bar for ownership, craft, and impactPartner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutionsMake pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For6+ years building and deploying consumer-facing ML systems in production2+ years leading or managing data scientists or ML engineersExperience building teams, not just operating as an ICStrong Python skillsExperience with Databricks or similar ML platformsComfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoringProven ability to translate ambiguous business problems into measurable ML outcomesStrong bias toward shipping, iteration, and impactSound judgment on when to ship an MVP vs. invest in robustnessActively uses AI tools to accelerate development and expects the same from their team
Nice to HaveExperience with experimentation platforms or causal inferenceBackground in subscription or SaaS businessesFamiliarity with TypeScript or production engineering practices
Data Science ManagerLocation: Canada | EST Hours Required Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll DoDesign and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scalesDefine success metrics, monitor production models, and iterate until business results improveHire, coach, and develop data scientists; set a high bar for ownership, craft, and impactPartner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutionsMake pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For6+ years building and deploying consumer-facing ML systems in production2+ years leading or managing data scientists or ML engineersExperience building teams, not just operating as an ICStrong Python skillsExperience with Databricks or similar ML platformsComfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoringProven ability to translate ambiguous business problems into measurable ML outcomesStrong bias toward shipping, iteration, and impactSound judgment on when to ship an MVP vs. invest in robustnessActively uses AI tools to accelerate development and expects the same from their team
Nice to HaveExperience with experimentation platforms or causal inferenceBackground in subscription or SaaS businessesFamiliarity with TypeScript or production engineering practices
Data Science ManagerLocation: Canada | EST Hours Required Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll DoDesign and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scalesDefine success metrics, monitor production models, and iterate until business results improveHire, coach, and develop data scientists; set a high bar for ownership, craft, and impactPartner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutionsMake pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For6+ years building and deploying consumer-facing ML systems in production2+ years leading or managing data scientists or ML engineersExperience building teams, not just operating as an ICStrong Python skillsExperience with Databricks or similar ML platformsComfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoringProven ability to translate ambiguous business problems into measurable ML outcomesStrong bias toward shipping, iteration, and impactSound judgment on when to ship an MVP vs. invest in robustnessActively uses AI tools to accelerate development and expects the same from their team
Nice to HaveExperience with experimentation platforms or causal inferenceBackground in subscription or SaaS businessesFamiliarity with TypeScript or production engineering practices
