Scope of Work Design and execute statistical analyses to uncover actionable insights from complex datasets. Develop and validate machine learning models for various business or research objectives. Apply data modeling techniques and manage large-scale data transformations using Python and Pandas. Collaborate with stakeholders to define experimentation frameworks and analyze outcomes. Document methodology, findings, and recommendations with a focus on clarity and precision. Review peer contributions and provide high-quality feedback to support knowledge sharing. Deliver reproducible code and well-organized analytical reports as part of the project deliverables. Evaluate AI model outputs on statistics, machine learning, experimentation, and quantitative problems. Create expert-level prompts, datasets, and reference solutions. Identify flawed methodology, statistical errors, and weak quantitative reasoning. Provide clear, structured feedback that improves model capability. Preferred Qualifications At least one year at a top company (tech, finance, or research). Expertise in Python, including proficiency with libraries such as Pandas and scikit-learn (sklearn). Demonstrated experience in applied statistics, experimental design, and machine learning. Proven ability to develop, tune, and evaluate machine learning models in practical settings. Strong data modeling skills and experience managing structured and unstructured data. Excellent written and verbal communication skills, with a passion for clear technical documentation. Experience collaborating on open or cross-functional data science projects is a plus. Advanced academic background or hands-on work in data science, applied mathematics, or related fields. Posted 5 days ago

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.