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Weekday, Inc.

Data Scientist

Posted 5 Days Ago
Be an Early Applicant
In-Office
3 Locations
Junior
In-Office
3 Locations
Junior
Use data and advanced analytics to solve complex business problems, design and deploy scalable ML/data products on cloud platforms, collaborate with clients and cross-functional teams, and communicate actionable insights.
The summary above was generated by AI

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


RequirementsAbout 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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