Search Jobs

Valuable connections start here.

Search and Apply

To have a more in-depth discussion of a position, contact the recruiter listed on the job posting. Put our 40+ years of experience to work for you!

Data Scientist

San Francisco, CA 94016

Posted: 03/25/2023 Category: Data Science Job Number: 282942-7_1 Salary: 130,000 - 150,000

Job Description

Title: Data Scientist
Location: San Francisco, CA or Remote
Salary: $130,000 - 150,000
Contact: Paul Chatlos, [email protected]

Data Scientist Overview

As part of an established venture capital fund with significant access to capital in the Menlo Park, CA area, this Data Scientist position will work within a lean team to conduct exceptional financial diligence, source new opportunities, and provide portfolio company support in the Internet, Media and Fin Tech Sectors. The team invests across stages from pre-seed to pre-IPO and takes an opportunistic approach to investments. This individual will be based in the Bay Area and compensation will be commensurate with experience.

Data Scientist Primary responsibilities include

-Create and refine models based on historical startup success and scoring system for sourcing purpose
-Regularly screen companies within company's database to surface companies with key developments
-Develop investment thesis using quantitative research
-Facilitate portfolio management by connecting API into portfolio data sources
-Create and maintain database of companies evaluated by investment team as well as track performance of investment decision
-Effectively communicate with an ability to interpret and present analytical insights to stakeholders

Data Scientist Requirements

-Undergraduate degree. B.S. Computer Science, Data Science or Statistics from top tier University
-Preferred Masters degree in Computer Science or Statistics
-5 or more years of previous data scientist experience. A plus if within Venture Capital, Finance or investing space
-Data science/engineering and computer programming project experience
-Data science skills including Python, SQL, regression and statistical modeling
-Basic understanding of ML/AI and familiarity of key frameworks such as Tree Model, CNN, TensorFlow and Scikit-Learn
-Basic front-end and back-end programing skills such as Javascript, HTML and PHP
-Exceptional technical, analytical and research skills
-Familiar with Excel VBA and PowerPoint
-Experience with database such as AWS and MongoDB
-Familiar with data visualization tools such as PowerBI and Tableau
-Data engineering and web-scraping skills
-Familiar with PHP programming
-Familiar with services providers such as Crunchbase, Tracxn, Pitchbook, SecondMeasure, etc.
-Strong attention to detail
-Intellectually curious with strong interpersonal and communication skills
-Hard working
-Self-motivated & proactive

Meet Your Recruiter

Paul Chatlos

Paul Chatlos joined Smith Hanley in 2013. He is currently the Data Science and Analytics Practice Lead for the East and West Coasts and a Principal of the company. Prior to joining Smith Hanley, he recruited marketing professionals in the pharmaceutical, medical device and biotechnology industries and also worked in Physician Recruitment. He prides himself on building excellent relationships with both clients and candidates in order to best address their hiring needs and career goals. He also believes that recruiting is finding the best “match” of candidate and opportunity. 

He holds a BS in Psychology from James Madison University. Outside of work, Paul enjoys playing golf regularly and is an avid sports fan. 

Apply Online
Apply with LinkedIn Apply with Facebook Apply with Twitter

Send an email reminder to:

Share This Job:

Related Jobs:

Login to save this search and get notified of similar positions.

Search Jobs

Contact winsearch at [email protected]


entertainment industry data science
Data Science & Analytics

Entertainment Industry Data Science

Eighty percent of all streaming time on Netflix is driven by their recommendation algorithm. Spotify uses a machine learning algorithm called BaRT, Big Data Real-Time,

Read More
AI in market research
Market Research & Consumer Insights

AI In Market Research

In a survey by 93% of researchers see AI in market research as a force for good. Even though this 90%+ are convinced of

Read More