We are seeking a data scientist with at least 1 year of experience working with large data sets and 10 years of total professional experience. This role is expected to translate business objectives into actionable data analysis and communicate findings clearly to technical and non-technical audiences
Job DescriptionRequired
• Analytical thinking;
• Understanding of statistics fundamentals;
• In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig);
• In-depth knowledge on machine learning methods;
• Experience with scripting languages such as Python;
• Understanding of main statistical methods;
• Understanding of sampling techniques;
• Understanding of descriptive and inferential statistics concepts;
• Business domain experience in one of the following areas: retail, enterprise mobility, healthcare;
Qualifications• B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required
• M.Sc. / Ph.D degree in related field is desirable.
Additional InformationAll your information will be kept confidential according to EEO guidelines.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

.jpeg)
