Data Scientist

Hoodline is a media tech company that powers local content creation and discovery across the US. We believe that many of the most exciting and important stories, namely local stories, remain unheard if not untold. We see an opportunity to fill this gap. Using machine learning and data science, Hoodline turns raw data signals into thousands of automated local stories and videos each month. Hoodline's platform also tags and contextualizes content from hundreds of partner publications, adding location and other metadata labels to each story.

Hoodline's APIs and Recommendation Module make it easy for any app or site to integrate with its platform to recommend fresh and relevant content to their users. Partners include ABC, Yahoo Search, MSN, Eventbrite, Uber, CBS, Advance Digital, Zumper and McClatchy, delivering 200M story recommendations per quarter. Investors include Neoteny, Rakuten, Greylock Ventures, Eric Schmidt's Innovation Endeavors, CRV, Social Capital, Sound Ventures, Dentsu, Disney, the Knight Enterprise Fund, 500 Startup, and Softbank VC. We are a passionate team of 25 in the Mission in San Francisco.



RESPONSIBILITIES

  • Leveraging our large amount of structured and unstructured data to extract newsworthy insights
  • Developing algorithms and modeling techniques to identify characteristics and patterns in how communities work at a neighborhood level
  • Develop metrics and evaluate the performance of stories by designing experiments to drive product requirements
  • Work closely with data engineers, data journalists, and other cross-functional team members to develop original content and the automation pipeline
  • Keeping up with recent advances in machine learning, big data processing, and your field of expertise (e.g. natural language processing, data visualization)


QUALIFICATIONS

  • MS degree (PhD preferred) in computer science, statistics, economics, or a related quantitative field
  • Extensive experience working with various datasets, familiarity with common schemas, and an understanding of both the power and shortcomings of data
  • Experience in large scale software development and product development processes (code design, testing plans, and code reviews) 
  • Fluent in Python programming, including common scientific computing packages and data science tools such as numpy, scikit-learn, pandas, and matplotlib
  • Fluent in SQL and ability to write queries for large datasets
  • Experience with common methods and tools for natural language processing and machine learning
  • 2+ years of professional experience in the field


PREFERRED QUALIFICATIONS

  • Passionate about data driven products and computational problem-solving
  • Passionate about uncovering meaningful stories, addressing growing news deserts, and informing local communities
  • Experience in creating impactful data visualizations
  • Active participant in meetups / groups related to: Data Science, Data Visualization, Machine Learning, Natural Language Processing, or related interests


PERKS

  • Fun, diverse team
  • Catered lunch twice per week
  • Unlimited vacation policy
  • Friday wine time
  • Free gym or commuter credits
  • Lots of snacks
  • Dog-friendly
  • Referral bonus program



BENEFITS

  • Medical, Dental, & Vision Insurance
  • Life & Disability Coverage
  • 401(k) plan


INVESTORS

Rakuten, Greylock Partners, Social Capital, Graph Ventures, CRV Eric Schmidt's Innovation Endeavors, Pear Ventures, Matter Ventures, John S. & James L. Knight Foundation, and 500 Startups.


PRESS
https://techcrunch.com/2018/09/10/hoodline-raises-10m-for-its-hyper-local-automated-data-newswire
https://techcrunch.com/2018/01/26/hoodline-is-trying-to-fix-local-news-deserts-with-a-new-automated-news-wire
https://techcrunch.com/2018/06/27/hoodline-content-recommendation


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