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LawDepot

Data Scientist

Posted 18 Days Ago
Be an Early Applicant
Hybrid
Edmonton, AB
Mid level
Hybrid
Edmonton, AB
Mid level
Design and evaluate controlled experiments and analyze behavioral and transactional data to optimize checkout conversion and subscription monetization. Build SQL/Python analyses, baseline models, dashboards, and visualizations to inform revenue-driving recommendations. Collaborate with stakeholders to improve tracking, validate hypotheses, and lead end-to-end analytical initiatives.
The summary above was generated by AI
What the Role Does:Turn data into decisions that drive revenue.

This is a high impact experimentation and analytics role focused on optimizing LawDepot’s Checkout experience across a large scale global eCommerce platform. You will design and evaluate experiments, apply rigorous statistical thinking, and dive deep into behavioural data to uncover what truly drives user decisions. Your work directly influences conversion rate, subscription valuation, customer behaviour, and long-term revenue growth.

This role is based in Edmonton, Alberta, with opportunities for a hybrid work arrangement.

What You’ll Do:
  • Explore and analyze both experimental data and day to day user data to understand performance across the Checkout experience

  • Own end to end analytical initiatives, identifying and executing on revenue opportunities informed by past experimentation, competitive analysis, and market trends

  • Design, evaluate, and monitor controlled experiments, identifying follow up optimization opportunities

  • Create baseline models and establish experiment metrics to measure uplift, validate hypotheses, and inform revenue growth decisions

  • Translate behavioural insights into clear business recommendations tied to subscription valuation and monetization

  • Develop SQL queries and Python code for data extraction, analysis, and automation

  • Design dashboards that enable self-service reporting and support decision-making

  • Build clear, actionable data visualizations that make insights accessible to stakeholders

  • Apply appropriate statistical and modeling techniques based on the problem and available data

  • Create and initiate monetization projects based on learnings from past initiatives, competitive analysis, and market trends

  • Contribute to improving data tracking, event quality, and attribution logic over time

  • Collaborate with analysts, developers, and product stakeholders to ensure accurate tracking and measurement

  • Present findings in weekly team meetings and contribute to prioritization decisions

What You Bring:The Essentials
  • Post secondary education in Data Science, Business, Finance, Economics, Mathematics, Statistics, Computer Science, or a related field

  • Solid foundation in statistical analysis, including hypothesis testing and interpreting experimental results

  • Ability to execute well-scoped analytical tasks and models under minimal guidance, contributing accurate and timely insights to business problems

  • Proficiency in SQL, including writing efficient queries with joins, aggregations, and filtering logic

  • Familiarity with Python for data analysis and visualization (ex. pandas, Matplotlib)

  • Proficiency in Microsoft Excel, including Pivot Tables, formulas, and data visualization

  • Strong communication skills and ability to explain complex analysis clearly

  • Proactive mindset with a willingness to take ownership

  • Curiosity and a natural tendency to dig deeper into unexpected results

The Nice to Haves (Great if you have it and we’ll help you learn if you don’t)
  • Experience conducting financial analysis on large datasets

  • Knowledge of data mining and segmentation techniques

  • Experience independently managing complex analytical initiatives

  • Experience analyzing and designing A/B experiments

Compensation

Range: $60,000 - $80,000 CAD

Placement within the range is based on relevant experience, demonstrated skills, unique qualifications, and alignment with the role’s scope and impact. In addition to base compensation, LawDepot offers a comprehensive and competitive Total Rewards program.

Why You Should Join the LawDepot Team:
  • Excellent total compensation package

  • Comprehensive health and dental benefits, plus an additional Health Care Spending Account

  • Great work life balance (37.5 hour work weeks, flexible schedules, ability to bank hours)

  • Three weeks paid vacation, plus bonus personal days

  • Continuous learning opportunities, including LinkedIn Learning subscriptions and training budgets

  • Company share plan

  • Free catered lunches for the entire office

  • Monthly social events for team members to enjoy (think axe throwing, rock climbing, board games, food trucks, trivia contests, and charitable activities)

  • Casual work environment

  • Personal offices for focused work and to have your individual space (plus collaborative workspaces for when you want to meet with the team)

  • Free and easily accessible parking

  • Southgate Mall, Whyte Ave, and Calgary Trail restaurants are only minutes away

  • Hybrid working arrangements for that balance between getting work done at home and engaging with others in the office

Who We Are:

Join one of the fastest growing companies in Canada! LawDepot is proud to be a seven-time Growth 500 ranked organization and a major player in the Global legal solutions industry. Our mission is to modernize the legal document creation experience by empowering people with fast, easy-to-use, and professional solutions. With over ten million satisfied customers worldwide, over two million monthly website visitors, and billions of dollars saved on legal fees, you will be joining a team that is truly making a difference. At LawDepot, we foster a collaborative and inclusive learning culture that values excellence and diversity. Apply today and become a part of our exciting journey!

How to Apply:

Please submit a resume and cover letter online via our Careers page at https://www.lawdepot.ca/career

We thank all applicants; however, only those selected for an interview will be contacted.

#LI-DNI

Top Skills

Sql,Python,Pandas,Matplotlib,Microsoft Excel

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