About this role
Haystack News is the leading local & world news service on Connected TVs reaching millions of users! This is a unique opportunity to work at Haystack News, one of the fastest-growing TV startups in the world. We are already preloaded on 37% of all TVs shipped in the US!
Be part of a Silicon Valley startup and work directly with the founding team. Jumpstart your career by working with Stanford & Carnegie Mellon alumni and faculty who have already been part of other successful startups in Silicon Valley.
You should join us if you're hungry to learn how Silicon Valley startups thrive, you like to ship quickly and often, love to solve challenging problems, and like working in small teams.
Job functions
Analyze large data sets to get insights using statistical analysis tools and techniques
Collaborate with the Marketing, Editorial and Engineering teams on dataset building, querying and dashboard implementations
Support the data tooling improvement efforts and help increase the company data literacy
Work with the ML team on feature engineering and A/B testing for model building and improvement
Design, test and build highly scalable data management and monitoring systems
Build high-performance algorithms, prototypes and predictive models
Qualifications and requirements
Strong written and spoken English is a must!
Bachelor's degree in Computer Science, Statistics, Math, Economics or related field
3+ years experience doing analytics in a professional setting
Advanced SQL skills, including performance troubleshooting
Experience with data warehouses (e.g. Snowflake, BigQuery, Redshift)
Proficient in Python including familiarity with Jupyter notebooks
Strong Math/Stats background with statistical analysis experience on big data sets
Strong communication skills, be able to communicate complex concepts effectively.
Conditions
Travel to team's offsite events
100% paid Uber rides to go to the office
Learn about multiple technologies