Data Science Manager, Rider Experience

United States Digital Space LLC; Toronto; Hybrid; CAD 172,000 - 215,000; Full time

Benefits offered by this job

Extended health and dental coverage

Life insurance

Disability benefits

Mental health benefits

Family building benefits

Child care benefits

Health Care Savings Account

RRSP plan with company match

Flexible paid time off

Hybrid in-office schedule with 3 days

Ride credits

Job summary

United States Digital Space LLC in Toronto, Canada is hiring a Data Science Manager to lead the Rider Experience analytics team and steer data-driven product decisions. You will define measurement standards, guide experimentation, and drive AI-enabled data science workflows to improve rider experience and LTV.

You will mentor a diverse team, partner with product managers and engineers, and help translate complex analyses into actionable roadmaps that align with business goals.

Qualifications

• Advanced degree (MS or PhD) in a quantitative field (Statistics, Applied Mathematics, Economics, CS, or related)
• Hands-on experience in experimentation, causal inference, or data science, preferably with ML or marketplace dynamics
• 2+ years of management experience building, leading, and mentoring data science teams
• Strong expertise in statistics, experimental design, and causal inference (A/B testing, multivariate testing, incremental lift)
• Strong data storytelling and influence skills, with experience presenting insights to senior leaders
• Experience launching and monitoring consumer-facing products and iterating through data-driven experiments

Responsibilities

• Lead and grow a high-performing data science and analytics team
• Define and drive the data science vision, strategy, and roadmap aligned with product objectives
• Provide technical guidance and coaching on complex data science problems
• Champion data-driven decision-making with cross-functional partners
• Lead deep-dive analyses on large-scale datasets to improve rider experience
• Ensure robust experimentation and causal inference methodologies
• Mentor team members to develop careers and assign suitable projects
• Balance high-impact projects with rapid shipping
• Lead AI-native data science and analytics workflows across exploration, modeling, and insight delivery
• Collaborate with recruiting to hire diverse talent

Skills

Data science

Experimentation

Causal inference

Team management

Data storytelling

Communication

Machine learning

Education

MS or PhD in quantitative field

Job description

At the company, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science & Analytics is at the heart of the company's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to the company. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment.

You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products.

Responsibilities:

• Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds

• Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience

• Provide strong technical guidance and coaching to the team on complex data science problems

• Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action

• Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health

• Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies

• Mentor and guide the professional and technical development of your team members; help develop their careers and assign projects tailored to their skill levels, work styles, and professional goals

• Maintain a balance between building sustainable, high-impact projects and shipping quickly

• Lead the team in adopting AI-native data science and analytics workflows, embedding AI tooling across data exploration, modeling, and insight delivery

• Partner with the the company recruiting team to hire high-potential candidates from diverse backgrounds

Experience:

• Advanced degree (MS or PhD) in a quantitative field such as Statistics, Applied Mathematics, Economics, Computer Science, or a related area

• Hands-on technical experience in experimentation, causal inference, or data science, preferably with applications in machine learning or marketplace dynamics

• 2+ years of management experience building, leading, and mentoring data science teams

• Strong expertise in statistics, experimental design, and causal inference, including A/B testing, multivariate testing, and incremental lift measurement

• Strong data storytelling and influence skills, with experience presenting insights and recommendations to senior leaders

• Experience launching and monitoring consumer-facing products and iterating through data-driven experimentation and metrics analysis

• Experience guiding teams through ambiguous, complex technical challenges to deliver impactful solutions

• Experience building or operationalizing machine learning models (e.g., propensity, segmentation, churn, personalization) in partnership with engineering

• Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits

• Mental health benefits

• Family building benefits

• Child care and pet benefits

• Access to a the company funded Health Care Savings Account

• RRSP plan with company match to help save for your future

• In addition to provincial observed holidays, salaried team members are covered under the company's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service

• the company is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.

• Subsidized commuter benefits and the company ride credits

the company is committed to creating an inclusive workforce that fosters belonging. the company believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. the company also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

the company highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. the company considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks the company offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Canada area is CAD $172,000 - CAD 215,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

the company may use artificial intelligence to screen applicants, however, the company employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.