Data Science Internship

Guidepoint · Remote

Company

Guidepoint

Location

Remote

Type

Full Time

Job Description

Overview:

Guidepoint Qsight identifies, gathers, acquires, and delivers high-value data that offers clients unparalleled quantitative insight into company and sector performance. With over a decade of experience in collecting and analyzing primary data on hard-to-access markets, Qsight offers clients some of the most differentiated and powerful data available.  

The Data Science Intern will help with the development of Qsight offerings, including building new products from proprietary and purchased data. The internship is a paid, full-time, six-month program. It provides formal hands-on training, a weekly learning series, social networking outings, and mentorship opportunities designed to cultivate a skillset that will be invaluable throughout your career. Guidepoint currently operates on a hybrid model, so you will get to experience our in-office culture throughout the week. 

This position can be remote in the United States. Ideal candidates MUST be comfortable working EST hours. 

What You’ll Do: 

  • Work with raw and complex data to find statistically significant signals 
  • Apply various modeling and analysis techniques to build top-line, company-specific metric predictions that will consistently beat analyst consensus 
  • Research various sector and company controversies to help qualitatively inform and interpret models 
  • Analyze and understand the disparate sources of industry data 
  • Utilize a diverse array of technologies and tools to deliver insights, as needed, such as Python, SQL, R, SAS, and MatLab 
  • Conduct quantitative analysis and modeling projects in addition to developing new models, analytic processes, and systems approaches 

What You Have: 

  • Recently obtained a master’s degree in computer science, statistics, applied mathematics, or engineering 
  • 1+ year(s) of full-time work or internship experience in a similar environment 
  • Hands-on experience with Python and SQL 
  • Relevant experience and strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval 
  • A hunger for solving complex, difficult big data problems with a sense of urgency 
  • Ability to work with team to assess needs, provide assistance, and resolve problems, using excellent verbal/written communication to non-technical audiences 
  • Experience with industry standard risk analytics and stress testing methods 
  • Excellent problem solver and willing to work independently 
  • Strong focus on quality and on addressing client needs 

What We Have: 

  • Culture based on growth and development 
  • Commitment to DEI initiatives 
  • Free snacks and beverages (if in-office) 
  • Casual work environment 
  • The internship is fully paid at $30.00 an hour for 40 hours per week 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.5 million experts and Guidepoint’s 1,300 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-ZL1

#LI-remote

Base salary may vary depending on job-related knowledge, skills, and experience, as well as geographic location. Additionally, this position is eligible for an annual discretionary bonus based on performance.

Compensation

$30—$30 USD

Apply Now

Date Posted

12/08/2023

Views

4

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