Senior Data Scientist

Hiive; Canada; On-site; CAD 98,000 - 153,000; Full time

Job summary

Hiive, a rapidly growing fintech startup in Canada, seeks a Senior Data Scientist to enhance private market insights and drive data strategy. This position involves working collaboratively with business teams to understand data needs, leading data projects, and utilizing advanced analytics to inform strategic decisions. Ideal candidates will possess a strong statistical background and hands-on experience with data science workflows, contributing to a innovative, fast-paced environment.

Benefits

Competitive salary with stock options

100% employer-paid health and dental premiums

$20-per-day commuter benefit

A dedicated desk at Vancouver HQ

Qualifications

• 5+ years experience in data science, preferably in a marketplace or financial context.
• Ability to leverage advanced statistical concepts.
• Exceptional written and verbal communication skills.

Responsibilities

• Leading data science projects end-to-end.
• Analyzing historical data using statistical methods.
• Presenting findings to various audiences, including executives.

Skills

Statistical analysis

Data visualization

Communication skills

Education

Degree in Applied Statistics, Mathematics, Economics

Tools

SQL

Python

GitHub

Snowflake

Job description

Join to apply for the Senior Data Scientist role at Hiive

Join to apply for the Senior Data Scientist role at Hiive

Get AI-powered advice on this job and more exclusive features.

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.

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

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.

In This Role, Your Responsibilities Would Include

• 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.
  
  

Required Skills

• 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.
  
  

Hiive is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

Referrals increase your chances of interviewing at Hiive by 2x

Get notified about new Senior Data Scientist jobs in Canada.

Senior Data Scientist - Credit & Lending

Senior Data Scientist (Remote - United States or Canada)

Sr. Decision Scientist, Fraud & Identity

Canada CA$98,000.00-CA$153,000.00 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.