Data Scientist

Weekday AI (YC W21); Delhi; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Weekday AI is seeking a Data Scientist to collaborate on challenging projects and translate complex data into actionable insights for clients. You will work across teams to understand business problems and deliver data-driven solutions using modern analytics techniques.

The role requires 2+ years of relevant experience, proficiency in Python, R, SQL, and hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

Qualifications

• Master's or PhD in relevant field required.
• 2+ years of data science, ML, AI or big data experience.
• Proficiency in Python, R, SQL and data analysis tools.

Responsibilities

• Collaborate on challenging projects to solve complex business problems.
• Develop scalable data products using cloud platforms.
• Communicate insights clearly to clients and stakeholders.

Skills

Python

R

SQL

AI/ML techniques

Communication

Client engagement

Cross-functional collaboration

Problem solving

Cloud platforms

Education

Master's or PhD in CS/Data Science/Math/Statistics/Engineering

Tools

AWS

Azure

Google Cloud

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.