Data Scientist

T-Net British Columbia; Vancouver; On-site; CAD 111,000 - 151,000; Full time

Job summary

A prominent tech company in Metro Vancouver is seeking a Data Scientist to join their Data Insights team. You will work on predictive AI solutions and collaborate with cross-functional teams to drive impactful insights. Candidates should have over 3 years of experience in data science and strong skills in Python, SQL, and machine learning. This role offers a competitive salary and a hybrid work environment.

Benefits

Competitive salary

Health, dental, and vision insurance

Flexible time-off policy

$2,000 annual counseling benefit

RRSP matching

Qualifications

• 3+ years applied experience in data science.
• Ability to translate business requirements into data science solutions.
• Proven ability to deliver actionable insights in a fast-paced environment.

Responsibilities

• Suggest new questions leading to high-impact insights.
• Develop predictive AI and ML solutions.
• Communicate complex concepts to diverse stakeholders.

Skills

Data science experience

Python programming

Statistical analysis

Machine learning techniques

SQL querying

Communication skills

Education

Graduate degree in a quantitative discipline

Tools

Pandas

PyTorch

scikit-learn

Databricks

Job description

More than 150,000 legal professionals use Clio to run their legal practices. They come in all sizes, specialize in every field of law, and each one has unique needs. Clio solves many of their biggest problems out of the box, but every legal practice is different.

Data Scientist – Data Insights

We are currently looking for a new Data Scientist to join our Data Insights team and work closely with Clio's products and business teams.

What you will do

• Suggest and proactively pursue new questions about our business, product, and customers that lead to high-impact 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 and clearly communicate the impact of different product features and other business initiatives.
• Employ machine learning, GenAI, and LLMs to unlock new product opportunities.
• Collaborate closely with product, marketing, and business teams to refine business problems, develop clear hypotheses, and provide data-driven recommendations that shape strategy.
• Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example.
• Effectively communicate and present complex technical concepts and findings to diverse stakeholders, ensuring insights are understood and acted upon.

Who you are

• Passionate about driving growth empirically.
• Always looking to innovate with data and explore open-ended questions.
• A strong partner to business and product stakeholders, with an ability to influence decision-making.
• 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.

Qualifications

• 3+ years applied experience in data science.
• The ability to translate business requirements into data science solutions.
• A proven ability to deliver actionable insights in a fast‑paced, iterative environment.
• Experience developing analysis in Python and relevant ML libraries (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, with the ability to tell a compelling story with data to both technical and non‑technical audiences.
• Ability to write structured SQL queries for answering questions and manipulating data.

Bonus skills

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

Benefits and Compensation

• Competitive, equitable salary – $111,400 to $150,600 CAD (salary bands may differ by location).
• Top‑tier health, dental, and vision insurance.
• Hybrid work environment – local Clio employees expected to work in office 2 days per week on Anchor Days.
• Flexible time‑off policy – encouraged 20 days off per year.
• $2,000 annual counseling benefit.
• RRSP matching and RESP contribution.
• Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years.

Equal Opportunity

Clio is an equal‑employment opportunity and affirmative‑action employer. We are committed to diversity, equity, inclusion, belonging, and equity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.