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Data Scientist

Noida, Uttar Pradesh, India

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Employment
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Apply at Weekday AI

What you’ll work on

Full posting

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.

Applying advanced analytics and AI/ML techniques to solve complex business problems and create value for the clients.

Education & alternatives
- 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

Tools in this posting

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • Google Cloud (GCP)
Source — Tool mentions in context
- 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
- 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.

Job description

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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. 

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on apply.workable.com. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

Noida, Uttar Pradesh, India

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Status in our records
Active
First seen by us
Aug 15, 2026
Recorded sightings
165
Last seen by us
Oct 8, 2026
Employer says posted
Sep 8, 2025

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