Senior Data Scientist

Job DescriptionJob Description COMPANY: Canoe Intelligence WEBSITE : TITLE:  Senior Data Scientist LOCATION: New York City (hybrid) or Fully Remote in the United States SALARY : $140,000 - $180,000 (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: 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. Write clear, concise, and compelling reports and documentation to convey data insights. Utilize advanced SQL skills to extract, manipulate, and analyze data from various sources. 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. Expertise in SQL and experience working with large and complex data sets. 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. : Master Degree or PhD in computer science or related field Experience with AWS, Snowflake, Postgres, and MySQL. Familiarity with financial modeling and investment analysis. What You'll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend + wifi reimbursement Employee Assistance Program Gym reimbursement Education assistance Parental Leave Commuter benefits 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 , , , marital status, , , ancestry, physical or mental , medical condition, , genetic information, , , or expression, veteran status, or any other status protected under federal, state, or local law.

Created: 2024-11-08