Data Scientist
✨ AI Summary
Weekday's client is hiring a Data Scientist for a full-time role in Mumbai, Gurgaon, NCR, Delhi, or NOIDA. The role involves applying advanced analytics and AI/ML to solve complex business problems for clients. Requires 2+ years of experience, a master's or PhD in a related field, and proficiency in Python, R, SQL, plus cloud platforms like AWS, Azure, or Google Cloud. Experience with machine learning techniques and industry-specific analytics is also needed.
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.
About the Company
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