Clio Logo

Base City: 

Remote-Canada - Remote

Salary: 

$106k to $144k

Rating: 

Self-taught: 

Position Type: 

Full-time

Position Keywords: 

Required: 

Bachelor of Science (Quantitative)

Experience: 

3 Years Data Science

Other Experience: 

  • 3+ years applied experience in data science.
  • The ability to translate business requirements into data science solutions.
  • Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn)
  • Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
  • Excellent written and verbal communication skills.
  • Ability to write structured SQL queries for answering questions and manipulating data.

Serious bonus points if you have:

  • Understanding of SaaS business metrics and growth drivers.
  • Experience with FinTech concepts.
  • Experience in analytics working with product and user behavior data, e.g., retention or churn analysis
  • Experience with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow)
  • Experience with large data sets and user behavior data.
  • Experience with NLP and LLMs.
  • A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering)

About the Job: 

What they want you to do: 

We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

  • Passionate about driving growth empirically;
  • Always looking to innovate with data and explore open-ended questions;
  • Strategically minded and never shies away from a challenge;
  • Self-motivated and able to work autonomously and collaboratively;
  • Agile and responsive, and comfortable with constant change.

You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives.

What you'll work on:

  • Collaborate with the Clio products teams to refine business problems, develop hypotheses, and provide input that drives growth.
  • Suggest new questions about our business, product, and customers that lead to impactful insights.
  • Work with other team members to develop predictive AI and ML solutions and deploy them in production.
  • Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives.
  • Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities.
  • Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example.
  • Effectively communicate complex technical concepts and findings to both technical and non-technical audiences.

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