Data Science Analyst Specialist

Remote Full-time
About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Ranking Data Scientist
Type: Contract
Compensation: $95–$130/hour
Location: Remote

Role Responsibilities
• Apply expertise in statistics, machine learning, and programming to enhance AI model training and improve model outputs.
• Leverage computer vision, feature extraction, and machine learning algorithms to drive content "shareability" on social media platforms.
• Design and evaluate predictive models using a flexible, analytical approach for optimal data value extraction.
• Collaborate with product engineers to translate prototypes into scalable products and features.
• Provide Business Intelligence and data visualization support for customer service dashboards and ad-hoc data analysis requests.
• Conduct metric movement investigations for key recommendation products and prepare weekly leadership reports.

Qualifications

Must-Have
• Master’s degree in Mathematics, Statistics, or a relevant technical field; PhD preferred.
• 5+ years of work experience in analytics.
• Fluency with SQL and Python.
• Experience with PyTorch or TensorFlow libraries.
• Experience training and using computer vision models.
• Strong written communication skills for conveying complex information.
• Experience working with large datasets.

Compensation & Legal
• Hourly contractor, Paid weekly

Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support
• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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