Sr. Data Scientist

Reposted Yesterday
New York City, NY, USA
Hybrid
160K-180K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
First-of-its kind AI technology powering the future of alternative investments
The Role
The role involves analyzing complex data related to private markets, developing data models, creating visualizations, and collaborating on data-driven products.
Summary Generated by Built In
COMPANY: Canoe Intelligence
WEBSITE: https://canoeintelligence.com/
TITLE: Sr. Data Scientist
LOCATION: New York City, London or Jacksonville (Hybrid)
SALARY: 160,000 - 180,000 base + bonus & equity (based on NYC, will be adjusted for geo)
The Role:
We are seeking an experienced and highly skilled Data Scientist to join our team. The ideal candidate will have a deep understanding of private markets and alternative investments, coupled with a strong ability to visualize complex data and communicate insights effectively. As a Data Scientist at Canoe, you will play a crucial role mining our large data corpus for new, unique, and compelling insights related to the $10 Trillion alternative investment market.
What You'll Do:
  • Utilize advanced SQL skills and AI tools to extract, manipulate, and analyze data from various sources.
  • Analyze and interpret complex data sets related to private markets and alternative investments.
  • Develop and implement data models and algorithms to uncover insights and trends.
  • Create compelling and easy-to-understand data visualizations to communicate findings to stakeholders.
  • Collaborate with cross-functional teams to design and build data-driven products and solutions.
  • Stay up-to-date with industry trends and best practices in data science, finance, and technology.
  • Work with the Product and Machine Learning teams to develop new strategies for data extraction from unstructured text such as PDF's.

What We're Looking For:
  • Proven experience as a Data Scientist, with a focus on private markets and alternative investments.
  • Strong executive presence, with the ability to instill confidence in senior stakeholders and represent the organization with credibility and polish.
  • Expertise in SQL and Python.
  • An understanding of performance measurement for private market investments including drawdown funds, hedge funds, private debt, direct investments in private companies, and other illiquid assets.
  • Experience working with large and complex datasets.
  • Strong skills in data visualization tools (e.g., Tableau, Power BI, D3.js) and techniques.
  • Excellent writing skills, with the ability to create clear and concise reports and documentation.
  • Proficiency in Python.
  • Solid understanding of statistical analysis, machine learning, and predictive modeling.
  • Strong problem-solving skills and attention to detail.
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment.
  • Bachelor's or Master's degree in Data Science, Finance, Economics, Computer Science, or a related field.

Preferred:
  • Experience with AWS, Snowflake, Postgres, and MySQL.
  • Familiarity with financial modeling and investment analysis.
  • Experience building and launching B2B products.
  • Experience building products with LLMs, and using AI agents to automate processes.
  • Experience working with Data Engineering teams to clean and productionize data pipelines.
  • An understanding of fund accounting and forecasting models.
  • Experience working in family office, institutional investor or PE/VC environment.

What You'll Get:
  • Medical, dental, vision benefits
  • Flexible PTO
  • 401(k)
  • Flexible work from home policy
  • Home office stipend
  • Employee Assistance Program
  • Gym/Wifi reimbursement
  • Education assistance
  • Parental Leave

Our Values:
  • Client First -> Listen, and deliver client-centric solutions
  • Be An Owner -> Take initiative, improve situations, drive positive outcomes
  • Excellence -> Always set the highest standard for yourself and others
  • Win Together -> 1 + 1 = 3

Who We Are:
Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.
Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Skills Required

  • Proven experience as a Data Scientist, with a focus on private markets
  • Expertise in SQL and Python
  • Understanding of performance measurement for private market investments
  • Experience working with large and complex datasets
  • Strong skills in data visualization tools
  • Excellent writing skills for reports and documentation
  • Solid understanding of statistical analysis and machine learning
  • Bachelor's or Master's degree in Data Science, Finance, Economics, or related field

What the Team is Saying

Emer
Julian
Drew
Maggie
Mike
Minoo
Levi
Heather
India
Matt

Canoe Compensation & Benefits Highlights

  • Healthcare Strength Core health coverage includes medical, dental, and vision insurance alongside an Employee Assistance Program. U.S. offerings also reference FSA/HSA options, while UK roles use a benefits stipend model for local coverage.
  • Leave & Time Off Breadth Time off is presented as flexible or unlimited PTO with paid holidays. Multiple postings explicitly highlight flexible PTO.
  • Wellbeing & Lifestyle Benefits Lifestyle support includes a home‑office setup stipend and recurring reimbursements for gym or home internet (around $100 per month) plus commuter benefits. Wellness programs are also referenced as part of the broader package.

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The Company
HQ: New York, NY
180 Employees
Year Founded: 2017

What We Do

Canoe offers first-of-its kind AI technology powering the future of alternative investments. Canoe has reimagined the future of alternative investments with cloud-based, machine-learning technology for document collection, data extraction, and data science initiatives. We transform complex documents into actionable intelligence within seconds and empower allocators with tools to unlock new efficiencies for their business. Since the beginning, we’ve maintained a focused, client-first approach to building and enhancing our technology and will continue to do so. By introducing automation to alternatives document collection and data management workflows, institutional investors, wealth managers, and general partners are seeing dramatic improvements in data accuracy and access, team efficiency, and client satisfaction.

Why Work With Us

At Canoe, we look for people who are open-minded, willing to roll up their sleeves, and constantly ask questions. We believe that diverse backgrounds and perspectives foster conversation and innovation, and collaborate to make each other better. Canoe's success is intertwined with each individual's success, which is why we focus on the team.

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Canoe Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Depending on role, employees may be hybrid in-office in NYC, London, or Jacksonville, or fully remote.

Typical time on-site: Flexible
HQNew York, NY
Jacksonville, FL
London, GB
Learn more

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