Data Scientist

Weekday (YC W21)

. Work as a Data Scientist or Machine Learning Scientist in a leading technology environment.

Posted 10/27/2026full-timeRemote • United States, United Kingdom, Canada, Australia, New ZealandJunior💰 ₹5,000,000 - ₹15,000,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong expertise in Data Science and Machine Learning, applying advanced analytical and quantitative methods to solve complex real-world problems. Holds an undergraduate degree in a quantitative discipline from a top-ranked university and possesses professional experience in high-performing technology environments.

Highest-signal resume keywords

Data ScienceMachine LearningStatistical ModellingAnalytical SkillsQuantitative Reasoning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningStatistical ModellingQuantitative AnalysisProblem-Solving

Soft Skills

Analytical Skills

Industry Keywords

Technology EnvironmentApplied ResearchTop-Tier Technology OrganisationsQuantitative Discipline

About the role

Key responsibilities & impact

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

What you’ll need

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.