Senior Data Scientist, Modeling

Babylist; Canada; Remote; CAD 155,000 - 188,000; Full time

Job summary

A leading family products company is seeking a Senior Data Scientist to drive strategic business decisions through advanced analytics. You will own critical decision-support models and collaborate with various teams to deliver actionable insights. This role requires 5+ years of data science experience and proficiency in SQL, Python, or R. The company offers a remote-first environment and competitive compensation including strong benefits.

Benefits

Competitive salary

Generous paid parental leave

Company paid health, dental, and vision

Qualifications

• 5+ years of experience in data science or a related field.
• Experience with building customer lifetime value and conversion prediction models.
• Strong communication skills for translating technical concepts.

Responsibilities

• Maintain and iterate on core predictive models.
• Translate complex data insights into actionable business decisions.
• Lead the deployment of decision-support models.

Skills

SQL

Python

R

Modeling

Data manipulation

Tools

Airflow

Job description

Babylist is the leading registry, e-commerce, and content platform for growing families. More than 9 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, trusted guidance, and expert product recommendations for new parents and the people who love them. With over $1 billion in annual GMV, and more than $500 million in 2024 revenue, Babylist is reshaping the $320 billion baby product industry. We’re helping parents feel confident, connected, and cared for at every step. As we build the generational brand in baby, our mission remains simple: to connect growing families with everything they need to thrive. To learn more, visit www.babylist.com.

Our Ways of Working

Babylist thrives as a remote-first company, with HQ team members located across the U.S. and Canada. We meet in person twice a year—once as a company and once by department to strengthen the relationships that power our work. We show up consistently, stay purpose-driven, and achieve results —together, from anywhere.

• Languages: Python, R, SQL
• Orchestration: Airflow

What the Role Is

We're looking for a Senior Data Scientist to own and evolve our most critical internal decision support models that drive strategic business decisions at the executive level. You'll be the dedicated data science expert responsible for maintaining and iterating on our core predictive models, while developing new modeling capabilities that will scale with our growing organization.

This is a high-visibility, business-critical role where your work will directly support financial projections and future growth strategies. You'll operate as the sole dedicated data scientist initially, working closely with business analysts, marketing teams, and cross-functional partners to translate complex technical concepts into actionable business insights.

As our first dedicated modeling expert, you'll have the unique opportunity to set best practices, influence strategic decisions, and build the foundation for our expanding data science capabilities during an exciting growth period at Babylist.

Who You Are

• You have 5+ years of experience in data science or a related field, with a proven track record of developing and deploying models that drive business impact
• You have hands-on experience building and maintaining decision-support models such as customer lifetime value, conversion prediction models, and retention forecasting that have influenced real business decisions
• You are able to break down complex technical concepts into simple, actionable insights for executives and non-technical partners to enable confident decision-making
• You have a strong track record of prioritizing projects based on business impact with clear communication of tradeoffs, outcomes, and value to leadership
• You are highly skilled in SQL, comfortable working across large-scale datasets, writing complex queries, and uncovering insights that drive strategy
• You have programming expertise in Python or R with experience in statistical modeling, data manipulation, and advanced analytics
• You have experience with orchestration and deployment tools like Airflow to deliver reliable, production-ready models that scale
• You have a background in dynamic pricing and promotion modeling, applying advanced methods to optimize strategy and outcomes
• You have developed decision-support models that inform internal business strategy and operations rather than solely external-facing product features
• You are adept at spotting high-impact modeling opportunities, securing stakeholder buy-in, and delivering solutions end-to-end that drive measurable value
• You are flexible and curious, contributing beyond model development to the broader analytics landscape
• You are confident working independently while managing strong cross-functional relationships across multiple teams

How You Will Make An Impact

• You’ll own the paid conversion model, stabilizing and improving its accuracy and performance to better predict which signups become paying customers
• You’ll lead the deployment of LTV V1 into production, ensuring reliability and scalability
• You’ll establish and champion modeling best practices across the organization to raise the standard of data science
• You’ll build strong relationships with cross-functional stakeholders and demonstrate measurable business impact
• You will drive the development of new modeling initiatives, including the evolution of the LTV model and other decision-support tools
• You’ll shape business strategy by delivering actionable, data-driven insights and recommendations to leadership
• You’ll scale modeling capabilities as the organization grows, including mentoring and developing future team members
• You’ll partner with leadership on ambitious growth projections and strategic planning efforts
• You’ll lay the foundation for expanded data science capabilities across a wide range of business functions

Why You Will Love Working At Babylist

• We invest in the infrastructure you’ll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
• We build products that have a positive impact on millions of people’s lives
• We work at a sustainable pace which means work/life balance is a real thing here
• We believe technology and data can solve hard problems
• AI plays a meaningful role in how we work, create, and scale—intentionally embedded in our tools, systems, and decision-making to support innovation and real impact
• We believe in exceptional management
• We offer competitive pay and meaningful opportunities for career advancement
• We have great benefits like company paid medical, dental, and vision and a generous paid parental leave policy
• We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning

Babylist follows a market-based approach to compensation, with pay varying based on location, experience, and qualifications. In compliance with applicable pay transparency laws, the starting salary range for this role is CAD $15,500.00 to $188,000.00, representing the lowest to highest compensation we reasonably expect to offer for this position.

Your starting salary within this range will be determined based on your skills, experience, and work location, with future adjustments informed by role growth, performance, and internal pay equity. Babylist is committed to supporting career progression and recognizes the value of performance-based advancement.

In addition to competitive pay, Babylist offers equity, bonus opportunities, and a comprehensive benefits package, including company-paid health, dental, and vision insurance, flexible spending accounts, and paid leave, including PTO and parental leave.

Interview Process & Data Use

To support a fair and consistent hiring process, Babylist uses AI to transcribe all interviews. Transcripts are confidential and used solely for evaluation purposes, in accordance with data privacy laws such as CCPA and GDPR. By applying, you acknowledge and consent to this use.

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All communication regarding your application will come only from the Babylist Talent Team via an @babylist.com email address. We will never request payment, bank information, or personal financial details. Be cautious of fraudulent outreach via non-company email addresses, messaging platforms (e.g., WhatsApp, Telegram), or unsolicited phone calls. To verify legitimate opportunities, visit our careers page.

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