Staff Data Scientist
Platform ScienceSalary not specified
- Full Time
- Expert & Leadership (9+ years)
$235,000 – $250,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & AnalyticsIndustries
Requirements
Candidates must hold a Bachelor's or Master's degree in Computer Science or a related field with at least 7 years of professional experience. They should have experience training classifiers, encoders, and generative models, particularly large language models, both from scratch and through fine-tuning. Fluency in Python and SQL, specifically with Snowflake, is required, along with experience in distributed systems and machine learning models. Familiarity with working on large language models and retrieval-augmented generation systems is essential. A strong foundation in data structures, algorithms, and software design is necessary, as well as thorough testing and code review practices. Strong verbal and written communication skills and openness to new technologies and creative solutions are also important.
Responsibilities
The Staff Data Scientist will build and implement state-of-the-art machine learning models using large datasets, specifically analyzing social media posts. They will work with advanced models, including large language models, to create sophisticated AI systems. The role involves staying updated with the evolving field of data science and contributing to both personal and team learning.
Skills
Python
SQL
Snowflake
LLMs
RAG
Machine Learning
Computer Vision
Natural Language Processing
Vector Databases
Data Structures
Algorithms
Software Design
Zefr
Contextual advertising technology for brands
About Zefr
Zefr focuses on contextual advertising, helping brands place their ads alongside relevant content without using personal information. Their technology is especially effective for video ads on platforms like YouTube and Facebook, allowing brands to reach specific audiences while maintaining user privacy. Zefr's Contextual Data Management Platform organizes brand preferences to deliver targeted ad campaigns with high engagement rates. The company differentiates itself by prioritizing privacy-compliant advertising, making it a valuable partner for brands looking to optimize their digital marketing efforts.
Los Angeles, CaliforniaHeadquarters
2009Year Founded
$63.1MTotal Funding
SERIES_ECompany Stage
Data & Analytics, EntertainmentIndustries
201-500Employees