Weekday AI

Proactive software engineer recruitment via referrals

Data Scientist

Data ScienceConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

A master’s degree or PhD in computer science, data science, mathematics, statistics, engineering, or a related field.
At least 2 years of relevant work experience in data science, machine learning, artificial intelligence, or big data.
Proficiency in Python, R, SQL, and other programming languages and tools for data analysis and machine learning.
Experience designing, developing, and deploying scalable and robust data products using cloud platforms such as AWS, Azure, or Google Cloud.
Experience using machine learning techniques such as regression, classification, clustering, natural language processing, and computer vision.
Familiarity with industry-specific skills such as retail analytics, healthcare analytics, or financial analytics.

Responsibilities

Apply advanced analytics and artificial intelligence/machine learning techniques to solve complex business problems and create value for clients.
Conceptualize business problems and drive frameworks.
Manage engagements and client relationships, and display initiative to effectively drive solutions to client problems.
Communicate effectively and professionally with clients, deliver impactful solutions, and present insights coherently.
Collaborate in cross-functional teams with diverse backgrounds and perspectives.

Data Scientist

Weekday AI · Mumbai, India · Full-time · Posted 2025-09-08

Workplace: on_site

Department: Weekday's Client via platform

Description

This role is for one of Weekday’s clients
Min Experience: 2 years
Location: Mumbai, Gurgaon, NCR, Delhi, NOIDA
JobType: full-time

Requirements

About the role

As a Data Scientist, you will collaborate on challenging projects to increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience to help you at every stage of your career. You will use data and advanced analytics to uncover innovative insights that create lasting impact for its clients.

Key Competencies :

Applying advanced analytics and AI/ML techniques to solve complex business problems and create value for the clients.
Conceptualizing business problems and drive frameworks.
Managing engagements, client relationships, and display initiative to effectively drive solutions to client problems.
Communicating effectively and professionally with clients, delivering impactful solutions and presenting insights coherently.
Collaborating to work in cross-functional teams with diverse backgrounds and perspectives
A master’s degree or PhD in computer science, data science, mathematics, statistics, engineering, or a related field
2+ years of relevant work experience in data science, machine learning, artificial intelligence, or big data
Proficiency in Python, R, SQL, and other programming languages and tools for data analysis and machine learning
Experience in designing, developing, and deploying scalable and robust data products using cloud platforms such as AWS, Azure, or Google Cloud
Experience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc.
Familiarity with industry-specific skills such as retail analytics, healthcare analytics, financial analytics, etc.

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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