Staff Data Scientist Expert

3 weeks ago


Marina del Rey, California, United States ZEFR Full time
Company Overview
Zefr is a leading data company that enables responsible marketing in social media environments. Our patented AI technology empowers brands to understand content on scaled platforms, such as YouTube, Meta, TikTok, and Snap. We offer accurate and transparent targeting and measurement solutions, helping brands and agencies make informed decisions.

Job Description
We are seeking an experienced Staff Data Scientist to join our team. As a key member of our team, you will help us build and use state-of-the-art machine learning models using multiple terabytes of data. Your responsibilities will include implementing machine learning algorithms to understand hundreds of millions of social media posts, working with large language models, and building sophisticated compound AI systems.

Required Skills and Qualifications
To be successful in this role, you should have a bachelor's or master's degree in computer science or a related field, along with 7+ years of professional experience. You should also have experience with training classifiers, encoders, and generative models, including fine-tuning large language models. Additionally, fluency in Python and SQL (specifically Snowflake) is required. Distributed systems and machine learning models experience is also necessary. Strong verbal and written communication skills are essential for success in this role.

Benefits
Zefr offers a comprehensive benefits package, including flexible PTO, medical, dental, and vision insurance, company-paid life insurance, paid parental leave, 401(k) with company match, professional development opportunities, and 14 paid holidays off. We also offer in-office, hybrid, and fully-remote work options, as well as Summer Fridays and in-office lunches.

Compensation
The anticipated base salary for this position is between $235,000 and $250,000. Additional stock options are provided with this role. Individual pay is determined by factors such as job-related skills, experience, and relevant education or training.

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