Data Scientist

Weekday AI; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Weekday AI is seeking a Data Scientist to collaborate on challenging projects and enhance understanding of complex business problems. You will apply data and ML techniques to uncover insights and deliver value for clients.

The role requires 2+ years of data science experience, proficiency in Python/R/SQL, and deployment of scalable data products on cloud platforms. You will work in a client-facing, cross-functional environment across multiple Indian locations.

Qualifications

• Master’s degree or PhD in a relevant field.
• 2+ years of data science, ML, AI, or big data experience.
• Experience deploying ML models on cloud platforms.
• Proficiency in Python, R, SQL for data analysis and ML.

Responsibilities

• Collaborate on challenging projects to solve complex business problems.
• Develop, deploy, and scale data products using cloud platforms.
• Engage with clients and stakeholders to drive solutions.
• Communicate insights clearly and present findings effectively.

Skills

Advanced analytics

AI/ML techniques

Framework conceptualization

Client engagement

Effective communication

Cross-functional collaboration

Python

R

SQL

Cloud platforms (AWS/Azure/GCP)

Education

Master’s degree or PhD in computer science, data science, mathematics, statistics, engineering

Tools

Python

R

SQL

AWS

Azure

GCP

Job description

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

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.