Data Scientist

Salary: CA$130K - CA$170K Employment Type: Full-Time

Position Overview

Named #4 startup in Canada for 2024, Hiive is a fintech/marketplace startup connecting buyers and sellers of stock in venture-backed pre-IPO companies🚀. Thanks to our industry-leading technology and best-in-class capital markets team, we are home to the fastest-growing marketplace for the stock of “unicorns” on the planet. As a profitable and rapidly growing business backed by US venture capital investors, we are seeking to scale our high-performing team.

As Hiive’s first Data Scientist, you’ll shape our understanding of private market dynamics and elevate our external thought leadership through data-driven insights. Working closely with the Head of Data and company leadership, you’ll help define the data science function and maximize its impact. Your work will uncover how users find value in our platform, analyze trading dynamics and liquidity, and surface opportunities to improve products, operations, and strategy. By building analytics tools and translating complex questions into actionable research, you'll empower teams across Hiive to make smarter, data-informed decisions.

Interested in learning more about life at Hiive? Check out our careers page to see how you can grow with us!

Responsibilities

• Working with business teams to understand data needs and identify new opportunities.
• Leading data science projects end-to-end, from ideation to prioritization.
• Integrating external data via in-house collection (e.g., web scraping) or partnerships.
• Analyzing historical data using statistical methods to understand user behaviour, supply and demand dynamics, and financial index performance.
• Presenting findings to various audiences, including executives.
• Researching, standardizing, and documenting core business metrics and KPIs.
• Collaborating with the data team on new data-driven products and data model improvements for data science use cases.

Requirements

• 5+ years of experience in a data science role (preferably in a marketplace/financial trading industry context), ML experience an asset.
• Degree in Applied Statistics, Mathematics, Economics, or related field.
• Ability to leverage advanced statistical concepts and select appropriate methodologies for various scenarios (small sample sizes, highly skewed data, sparse or missing data, etc.)
• Hands-on experience with data science workflows, tools, and best practices.
• Strength and passion for generating insights from complex or confusing data.
• Exceptional written and verbal communication skills; able to translate complex technical concepts into compelling insights and storytelling.
• Exceptional data presentation and visualization skills.

Preferred Stack Experience:

• SQL
• Python
• dbt
• Snowflake
• Omni (or Looker)
• GitHub
• Modern notebook tools (Hex, Google Colab, Snowpark, etc.)

Preferred Skills:

• Experience in marketplaces or financial industry.

Compensation, Benefits & Perks

• Highly competitive salary commensurate with experience and contribution.
• Opportunity to participate in ownership of a rapidly growing early-stage startup through our employee stock option plan.
• Comprehensive 100% employer-paid health and dental premiums, a health and personal spending account.
• A dedicated desk in our Vancouver, BC HQ, in the heart of downtown, with a fridge stocked with healthy snacks and drinks, an onsite gym, and a gorgeous rooftop amenity.
• Enjoy a $20-per-day commuter benefit for every day you work in our Vancouver HQ.
• An engaging social calendar, including bi-weekly catered lunches, bi-weekly “Friday bar,” team workouts, annual summer party, and holiday party, two “onsite” all-team retreats each year, semi-annual team-building events, and Hiive Womens’ Network events.
• Significant opportunities for growth into team leadership and management roles.
• Entrepreneurial culture and a small and dynamic team.
• Sponsorship, immigration, and relocation for exceptional candidates.

Company Information

Hiive is committed to fostering an inclusive workplace where all individuals feel valued and respected.