Staff Data Scientist, Clio
CA$153.6-230.4k
Legal practice management software
Be an early applicant
Legal practice management software
1001+ employees
Be an early applicant
CA$153.6-230.4k
1001+ employees
Company mission
Clio's mission is to build cloud-based and client-centred technology that will transform the legal experience for all.
Role
Who you are
- 8+ years of experience in Data Science, Machine Learning, or a highly quantitative field, with a track record of deploying models that drove significant revenue or cost savings
- Mastery of System Design and state-of-the-art time-series research
- Leadership without Authority: Proven ability to influence executive leadership and mentor senior technical staff. Proven ability to lead large-scale technical projects across multiple teams without being a direct people manager
- Deep Technical Stack: * Expertise in Python and SQL
- Advanced experience with AWS and Databricks
- Proficiency in distributed computing (e.g., Spark, Ray) and modern data platforms (Snowflake/Databricks)
- Modern AI Toolkit: Hands-on experience with LLM orchestration (LangChain, Haystack), vector databases, and PyTorch or TensorFlow
- System Design: Strong understanding of software engineering principles (microservices, API design) as they relate to deploying ML at scale
- Education: Master’s or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative field
What the job involves
- Architectural Strategy & Forecasting Leadership:
- Define the long-term forecasting roadmap and establish architectural standards for the entire company
- Lead the architectural design of complex ML systems, ensuring they are scalable, maintainable, and integrated seamlessly with the broader engineering stack
- Architect reusable, "platform-level" forecasting frameworks to be used by other Data Science teams
- High-Impact Modeling:
- Own the development of "tier-1" models—those with the highest business risk or technical complexity—using advanced statistical, deep learning, or Reinforcement Learning techniques
- Tackle high-ambiguity challenges, such as integrating causal inference or deep learning into global forecasts
- GenAI & LLM Innovation:
- Act as the subject matter expert for Generative AI; design RAG architectures, evaluate foundation models, and establish fine-tuning protocols for proprietary data
- MLOps & Quality Assurance:
- Define the team’s technical standards for CI/CD, model versioning, and automated testing
- Audit codebases to ensure high-performance and "production-ready" quality
- Strategic Experimentation:
- Own the end-to-end design and evaluation of high-impact product and business experiments, establishing rigorous statistical standards and frameworks to ensure trustworthy, data-driven decisions
- Technical Mentorship & Influence:
- Provide deep technical guidance to more junior Data Scientists
- Influence the roadmap by identifying "blind spots" in current data strategy and proposing novel solutions
- Cross-Functional Translation & Ethics:
- Partner with Data Engineering to optimize data pipelines for ML and with Product to ensure technical feasibility of the long-term vision
- Lead the implementation of Model Interpretability (XAI) frameworks to ensure all automated decisions are transparent and unbiased
Our take
Modern law firms increasingly manage their work digitally but the lack of a specialised remote solution means that workflows have become fragmented. This leads to legal practice managers having to juggle multiple software solutions across various devices.
Clio provides a legal practice management platform designed for law firms, allowing users to manage billing for legal aid cases, access and manage documents and store files across multiple devices. Whilst other startups are operating in this niche, Clio has uniquely focussed on synchronisation across remote devices and on a wide range of integrations, allowing the user to access information from other industry standard software such as Xero and Klyant from within a single interface.
Clio has raised a large amount of investment capital and benefited from the COVID-era move to cloud technologies. Most recently, it raised a 2024 Series F round, which saw the company attain a valuation exceeding $3 billion. This funding is being used to accelerate AI development and to allow existing investors and employees to cash out their shares.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Company equity
- $500 contribution when you become a parent and/or guardian
- 4-week minimum vacation
- Work from home when you need to (role-specific)
- Parental leave options for moms and dads
- Customizable extended health benefits (including $2000 per year to spend on counseling)
- Wellness programs including an onsite naturopath physiotherapist, and RMT (location-dependent), healthy snacks, and exercise classes
- RRSP-matching
Company HQ
Burnaby, BC
Leadership
Jack Newton
(Founder & CEO)Experience as Director of Product Development for Chenomx Inc. from 2004 to 2009. Advisor for Logikcull.com, dealcloser, and Athennian.
Rian Gauvreau
(Board Member)Experience developing legal technology for Gowling Lafleur Henderson LLP from 2000 to 2008. Graduated the University of British Columbia with an M.B.A. in Strategic Management in 2011.
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