Data Scientist

🔥 0 minutes ago

🌐 United States, United Kingdom, +3 more countries – Remote

🇺🇸 United States – Remote 🇬🇧 United Kingdom – Remote 🇨🇦 Canada – Remote 🇦🇺 Australia – Remote 🇳🇿 New Zealand – Remote

💵 ₹5M - ₹15M / year

⏰ Full Time

🟢 Junior

📊 Data Scientist

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• 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.