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Data Scientist

🕒 5 days ago

💵 ₹5M - ₹15M / year

⏰ Full Time

🟢 Junior

📊 Data Scientist

Where this job comes from

Posted on Weekday (YC W21)'s careers page, not through a job board

First seen by Remote Rocketship 5 days ago

Still open on Weekday (YC W21)'s site. Checked 2 hours ago.

Logo of Weekday (YC W21)

Weekday (YC W21)

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

• Work as a Data Scientist or Machine Learning Scientist in a leading technology environment. • Apply advanced data science, machine learning, statistical modelling, or applied research to complex real-world problems. • Use analytical, quantitative, and data-driven approaches to solve challenging problems.

🎯 Requirements

• Currently working as a Data Scientist, Machine Learning Scientist, or in a closely related technical role at a leading technology company. • Experience working in high-performing technology environments with exposure to advanced data science, machine learning, statistical modelling, or applied research. • Undergraduate degree from a top-ranked university in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline. • Strong analytical, quantitative reasoning, and problem-solving skills. • Ability to apply data-driven approaches to complex real-world problems. • Currently residing and working in one of the following English-speaking countries: United States, United Kingdom, Canada, Australia, or New Zealand. • Professional experience at established, top-tier technology organisations. • Strong technical expertise in data science or machine learning.

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