Position: Data Scientist
Location: Sunnyvale
Duration: 6 Months +
Minimum Qualifications
- PhD in Computer Science, Statistics or related field; OR a Master’s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience.
- Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.
- Programming skills in one of the following languages: Java, Scala, C/C++.
- Knowledge of one of the scripting languages such as Python or Perl.
- Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R.
- Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark).
- Working knowledge of Relational Data Base Systems and SQL.
- Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.
- Excellent communications and organizational skills
- Prior experience in this area with eCommerce or Online Retail would be a plus.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Ubertal Inc. San Mateo, California, USA Office
1730 South Amphlett, Suite 250, San Mateo, California, United States, 94402
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
