Lead Data Scientist � Marketing & Product Analytics

Absorb Technology; Canada; Remote; CAD 100,000 - 125,000; Full time

Job summary

A leading online training provider in Canada seeks a Lead Data Scientist to drive data-informed decision making across marketing and product strategy. This role requires expertise in data science, advanced SQL, and Python, as well as a strong statistical background. The position offers fully remote-first work and comprehensive health benefits.

Benefits

Fully remote-first work

Comprehensive Health and Wellness Benefits

New Hire Equipment Allowance

Endless opportunity for career growth

Qualifications

• 7-10 years in data science across growth/marketing or product analytics.
• Strong statistical toolkit including experimentation design.
• Capable of developing and productionizing machine learning models.

Responsibilities

• Own the Growth & Enablement data-science roadmap tied to company OKRs.
• Design and interpret rigorous experiments for data-driven decisions.
• Collaborate closely with the BI team to deliver impactful reporting.

Skills

Data science expertise

Statistical analysis

Advanced SQL

Python programming

Machine learning proficiency

Clear communication

Tools

Snowflake

BigQuery

Redshift

dbt

Airflow

Job description

Lead Data Scientist – Marketing & Product Analytics

"The Marketing team is poised for unprecedented growth and opportunity. We're in a very unique position where we've experienced tremendous success but are far from exhausting the whitespace around us. There is a unique opportunity to join a rising organization and make a significant and immediate impact." Mark Lynch - Senior Director, Demand Generation

Are you passionate about transforming data into strategy and AI into action? We are currently seeking a Senior Manager, Data Science to join our Marketing organization, where you’ll serve as a player-coach driving data-informed decision making across growth, retention, and product strategy. In this role, you’ll turn complex signals into clear, actionable insights that optimize acquisition efficiency, customer value, and product prioritization—while pioneering pragmatic AI and LLM workflows that move insights closer to real-time impact.

• Own the Growth & Enablement data-science roadmap tied to company OKRs; quantify impact and prioritize via ROI-based frameworks.
• Design, run, and interpret rigorous experiments across website/growth and in-product surfaces; choose the right randomization unit (session/user/account), set guardrails, and deliver credible readouts that drive decisions.
• Improve the cost and quality mix of inbound demand through better targeting, suppression, routing, and budget allocation; partner with Marketing to put models and playbooks into motion.
• Build interpretable churn/health signals with meaningful lead time; partner with CS to identify and test the highest-impact mitigation levers.
• Use AI to tap into new qualitative and behavioral sources (e.g., calls, emails, community, support, etc.) to generate relevant insights.
• Stand up AI enabled tools, automation and workflows to make the marketing and product teams more efficient.
• Support feature prioritization process with data on customer/ prospect preferences.
• Provide usage/uptake data & reviews to assess success of feature releases.
• Partner with PM/Enablement to quantify impact and de-risk bets with experiments or quasi-experimental methods.
• Collaborate closely with the BI team to deliver impactful reporting.

What you’ll bring:

• 7-10 years in data science across growth / marketing and / or product analytics.
• Strong statistical toolkit (experimentation design, uplift/causal methods, time-series, retention analysis).
• Advanced SQL and Python
• Machine learning (ML) proficiency: Capable of developing, evaluating, and productionizing models (e.g., classification, regression, forecasting/uplift) with solid engineering hygiene (versioning, CI/CD, monitoring, docs).
• Experience with modern data stacks (Snowflake/BigQuery/Redshift; dbt/Airflow or similar).
• Clear communication and influence across executives, PMs, Marketing, CS.

Nice-to-have:

• Experience delivering AI-enabled workflows
• Experience developing and implementing AI agents

Are you ready to become an Absorber?

What we offer:

• Fully remote-first work with flexible work arrangements
• Comprehensive Health and Wellness Benefits, generous time off, comprehensive medical and dental benefits based on your country of location
• New Hire Equipment Allowance and monthly Flex Allowance to support your success
• Endless opportunity for career growth and internal mobility
• Employee driven DE&I programs

Who are we?

Absorb Software is a remote-first company that provides online training solutions to leading organizations around the world. Absorb is a cloud-based learning management system (LMS) engineered to inspire learning and fuel business productivity. Our online learning platform combines forward-thinking technology built to scale as our customer’s organizations grow. We empower learners to enrich their lives, workplaces and communities.

Our values are simple:

• We achieve exceptional results by genuinely caring about each other and the work we do
• We’re united, and we grow through our commitment to elevating continual learning!

Absorb is proud to be an equal opportunity employer, we celebrate diversity and are committed to creating a safe and inclusive environment for all our people. All employment decisions are based on business needs, job requirements and individual qualifications. In the event a current Absorb employee would like to apply for this role they will inform their supervisor prior to submitting their application. Successful candidates for this position will be subject to pre-employment background screening, including a criminal record check and must be able to show proof of legal eligibility to work in the country they have applied to without sponsorship.

Should you require any accommodation during the recruitment process, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, please contact us at [e-mail]