Staff Data Scientist, ML - Growth
QuinceSalary not specified
- Full Time
- Junior (1 to 2 years)
$245,000 – $385,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Consumer SoftwareIndustries
Requirements
Candidates should have over 5 years of experience in a quantitative role, ideally as a data scientist or product analyst at a hyper-growth product company or research organization. Proficiency in SQL and Python is required, along with a strong programming background that allows for running simulations and prototyping variants. Excellent communication skills are essential for interacting with product managers, engineers, and executives, and experience in validating quantitative insights with qualitative methods is preferred. Familiarity with NLP, large language models, or generative AI is a plus.
Responsibilities
The Data Scientist will embed with the product development team to uncover new ways to improve the product and drive growth. They will define and interpret A/B tests to assess the impact of model and UX changes. Establishing a data-driven product development culture involves defining, tracking, and operationalizing metrics at various levels. Additionally, the role requires developing and socializing dashboards and reports to empower the team and company to answer product data questions independently.
Skills
SQL
Python
A/B Testing
Data Analysis
Data Interpretation
Dashboarding
Statistical Analysis
OpenAI
Develops safe and beneficial AI technologies
About OpenAI
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.
San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees