Data Scientist

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

Human Resources • SaaS • Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Advise research and engineering teams on statistical methodologies, experimental design, predictive modeling, and analytical best practices. • Help improve AI model performance across data science, analytics, and machine learning domains. • Create complex, real-world data science tasks that test quantitative reasoning, statistical thinking, and machine learning knowledge. • Develop accurate, well-structured solutions that reflect industry best practices. • Review and assess analytical solutions generated by AI systems and subject matter experts. • Identify errors, inconsistencies, flawed assumptions, and opportunities for improvement. • Provide clear, actionable feedback to enhance model quality and reasoning capabilities. • Build scoring rubrics and evaluation methodologies for: • Statistical reasoning • Predictive modeling • Machine learning workflows • Data interpretation • Experimental design • Business analytics and decision-making • Ensure consistent quality standards across datasets and evaluation processes. • Work closely with AI researchers, engineers, and domain experts to maintain accuracy, consistency, and rigor in training data development.

🎯 Requirements

• 3+ years of professional or research experience in: • Data Science • Statistical Analysis • Machine Learning • Predictive Analytics • Applied Mathematics • Quantitative Research • Business Analytics • Strong understanding of: • Statistical inference • Hypothesis testing • Regression analysis • Machine learning algorithms • Data visualization • Experimental design • Experience working with structured and unstructured datasets. • Ability to commit to 40 hours per week during standard business days. • Excellent written communication skills with the ability to clearly explain analytical decisions and modeling approaches.