Data Scientist

Weekday 1; Dadri; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Weekday 1 is seeking a Data Scientist to join client-facing projects across Mumbai, Gurgaon, NCR, Delhi and Noida. You will use data and advanced analytics to tackle complex business problems and deliver actionable insights.

You will collaborate with cross-functional teams, apply ML techniques, and contribute to building scalable data products on cloud platforms such as AWS, Azure, or Google Cloud. A master’s degree or PhD and 2+ years of DS experience are preferred.

Qualifications

• Master’s degree or PhD in CS, DS, math, statistics, engineering, or related field.
• 2+ years of data science, ML, AI, or big data experience.
• Proficiency in Python, R, SQL and related data analysis tools.
• Experience deploying scalable data products on cloud platforms (AWS/Azure/GCP).
• Familiarity with industry analytics domains (retail, healthcare, finance).

Responsibilities

• Collaborate on projects to solve business problems with data.
• Develop insights and present findings to clients.
• Work with cross-functional teams to deliver analytics solutions.

Skills

Python

R

SQL

ML techniques

Data analysis

Cloud

Education

Master's or PhD in CS/DS/Math/Stats/Engineering

Tools

AWS

Azure

GCP

Pandas

Scikit-learn

Job 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.