Lime Logo

Lime

Senior Data Scientist

Posted 8 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Senior level
Remote
Hiring Remotely in Canada
Senior level
Responsible for transforming complex data into actionable insights, building dashboards, and applying statistical rigor to financial planning while collaborating with Finance teams.
The summary above was generated by AI

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.


Lime is hiring a Senior Data Scientist to join our Data Science & Analytics team! In this role, you will report to Lime’s leader of Analytics Engineering & BI and serve as the primary liaison between our Finance and Data teams. You will be responsible for transforming complex data from multiple sources into actionable insights that directly impact Lime’s strategy and decision-making.

Lime is at an exciting inflection point as we scale our data capabilities to support critical business growth. As we transition to a more structured, high-performing organization, we need a full-stack data scientist who can architect data models, build dashboards, and apply statistical rigor to our financial planning.

The ideal candidate is a generalist who is comfortable writing production-grade, auditable dbt code one day, building a complex forecast model in Python the next, and presenting a variance analysis to Finance leadership the day after. You will treat management reporting as a product, ensuring it is automated, accurate, and audit-ready.

This is a remote position with a requirement for candidates residing in Canada to maintain effective collaboration across teams.

What you’ll do:

  • Serve as the primary technical partner to Finance, translating vague business questions into concrete quantitative analyses and automated reporting products.

  • Own the data lifecycle from raw ingestion to visualization; architecting clean, documented dbt models that replace manual ad hoc queries.

  • Apply statistical techniques to explain variances in performance and improve the accuracy of forecast models.

  • Conduct deep-dive analyses on trends, business performance, and key drivers impacting Lime’s bottom line.

  • Ensure data integrity, governance, and documentation to support reliable reporting.

  • Identify opportunities for automation and process improvements to enhance workflows.

About you:

  • 5+ years of experience in a full-stack data science role.

  • Expert reader and writer of SQL code, with a relentless focus on precision, logic validation, and troubleshooting data discrepancies to ensure absolute reporting accuracy.

  • Proficiency in Python or R for statistical analysis, forecasting, or automating data workflows beyond the capabilities of SQL.

  • Proficiency with BI tools such as Tableau, Looker, or Power BI.

  • Experience analyzing financial data (P&L, unit economics, etc.) and working closely with Finance teams to support FP&A functions.

  • Exceptional ability to distill complex data into clear, actionable insights for executive and senior leadership decision-making.

  • Strong project management skills, with a proven track record of collaborating cross-functionally with engineers, analysts, and Finance stakeholders to drive data initiatives forward.

Preferred Experience:

  • Experience in B2C, marketplace, or high-volume transaction business models.

  • Familiarity with dbt and modern data transformation best practices.

The salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.

#LI-SE1

#LI-Remote

If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.

Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email [email protected] for assistance.

Top Skills

Dbt
Looker
Power BI
Python
R
SQL
Tableau

Similar Jobs

4 Days Ago
Remote or Hybrid
Toronto, ON, CAN
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
As a Senior Data Scientist, you will apply machine learning to optimize customer acquisition and retention strategies, partnering with various teams to influence business outcomes.
Top Skills: Cloud-Based ServicesDimensional Data ModelingMachine LearningPythonSQL
4 Days Ago
Remote or Hybrid
Toronto, ON, CAN
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Senior Data Scientist will analyze marketing data, develop insights, and create reports to optimize marketing strategies and drive business outcomes, collaborating with various teams.
Top Skills: Google AnalyticsMarketoPythonRSalesforceSQL
11 Days Ago
Remote
Canada
Senior level
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.
Top Skills: PythonSQL

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account