Data Scientist
Role Overview
This mid-level Data Scientist role involves developing machine learning models to quantify digital information value and collaborating with a multidisciplinary team to solve complex AI economics problems. The hire will leverage data to generate insights and strategies, impacting product direction and ensuring content integrity by mitigating issues like plagiarism and fake content.
Perks & Benefits
The role is fully remote, likely offering flexibility in work hours with possible time zone considerations for team collaboration. Career growth is implied through innovation in AI and economics, with a culture focused on global impact and teamwork in a pioneering tech environment.
Full Job Description
Roles and Responsibilities
• Develop and implement machine learning models to quantify the value of digital information
• Collaborate closely with a multidisciplinary team to develop solutions to complex problems in the AI economics domain
• Leverage data to generate insights and strategies that will steer the direction of our products
• Maintain the integrity and quality of the information by identifying and mitigating issues such as plagiarism and fake content
Skillset
• Proficiency in Python, SQL, and data visualization tools
• Experience with big data technologies such as Hadoop and Spark
• Strong analytical and problem-solving abilities
• Excellent communication and teamwork skills Experience
• 4-6 years of experience in data science or a related field.
Qualification
• A master's degree in computer science, Statistics, Mathematics, or a related field is required.
About Zzazz
Zzazz is pioneering the next global information economy by transforming how digital content is valued and experienced. Our advanced Economic AI quantifies the real-time value and price of content, turning it into dynamic assets that reshape industries worldwide. At Zzazz, you'll join a team of innovators pushing the boundaries of AI and economics to create meaningful impact on a global scale
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