Weekday (YC W21)
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.
Data Scientist
Job not on LinkedIn
November 13
Weekday (YC W21)
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
• Execute assigned project tasks and analyses with minimal supervision, ensuring accuracy and quality. • Perform data wrangling, exploratory data analysis (EDA), and model development using statistical and machine learning techniques. • Follow structured project plans, coding standards, and best practices to maintain consistency. • Visualize and present insights using tools like Tableau or Sigma to communicate findings effectively. • Translate complex technical results into clear business insights and recommendations. • Iterate and refine models based on feedback while maintaining project timelines. • Collaborate with cross-functional teams and clients to ensure project goals are met.
🎯 Requirements
• Minimum 3 years of hands-on experience in data science, machine learning, or applied analytics (contract or full-time). • Proficiency in Python or R, SQL, and ML libraries such as Pandas, NumPy, and Scikit-learn. • Experience with data visualization tools (e.g., Tableau, Sigma). • Strong grasp of statistical analysis, model evaluation, and feature engineering. • Excellent written and verbal communication skills for both technical and non-technical audiences. • Exposure to ML deployment or MLOps workflows is an advantage. • Prior experience in a client-facing, consulting, or project-based setup is preferred. • Willingness to work late shifts (up to 3 AM).
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