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Salary
$16k – $61k per year (Estimated)
Location
In office (Mumbai)
Employment
Full-Time
Overview
Company
Impact
Profile match
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked with.

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.
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