Data Science, Quantitative Analysis Expert

🔥 2 hours ago

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

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

• Join a pioneering AI initiative focused on developing the next generation of evaluation benchmarks for frontier AI models. • Create complex, multi-step analytical challenges that mirror real research and business scenarios—from cleaning datasets and comparing statistical methods to interpreting results and presenting actionable insights. • Work closely with AI researchers to help identify where advanced AI models succeed, where they fail, and how evaluation benchmarks can better measure analytical reasoning.

🎯 Requirements

• Master's degree, PhD, or equivalent practical experience in Data Science, Statistics, Mathematics, Economics, Operations Research, or another quantitative STEM discipline. • Minimum 1 year of professional experience in research, research engineering, quantitative analysis, data science, or another data-intensive analytical role. • Strong hands-on experience with data cleaning, exploratory data analysis, statistical testing, correlation analysis, predictive modeling, and interpretation of analytical results. • Proficiency with Jupyter Notebooks or Google Colab for building reproducible analytical workflows. • Strong programming skills in Python, including experience with libraries such as pandas, NumPy, SciPy, scikit-learn, or similar analytical frameworks. • Working knowledge of Git and collaborative software development practices. • Excellent written communication skills with the ability to present analytical findings clearly to both technical and non-technical audiences. • Experience with AI evaluation, benchmark development, AI model assessment, or task authoring is preferred. • Exceptional analytical thinking, creativity, attention to detail, and the ability to solve complex, open-ended problems independently. • Ability to commit approximately 35 hours per week on a consistent basis.