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Senior Data Scientist

Role:

Senior Data Scientist

Location:

Indore, India (HQ)/Pune, India

Experience:

10+ years

Key Skills:

Data Scienctist, deep learning, Gen AI, ML

What will your role look like

  • Identify and understand customer challenges and collaborate with  cross-functional teams to translate them into business opportunities focusing on  AI solutions.
  • Implement and deploy AI solutions, apply, develop and work with different GenAI models.
  • Analyze the results to extract actionable insights and recommendations.
  • Work with large, complex data sets and apply advanced analytical methods as needed.
  • Conduct exploratory data analysis to understand the structure and characteristics of the data.
  • Work with different teams to integrate solutions into business processes and workflows.
  • Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way.
  • Actively and proactively perform market/trend scouting to stay up to date with the latest trends, tools, and techniques.
  • Foster a culture of continuous learning and development

Why you will love this role

  • Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth
  • Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded

We would like you to bring along

  • Experience in advanced data analytics/data science working with AI/ML or NLP.
  • Skilled in applying algorithmic models and are well acquainted with the properties and limits of state-of-the-art models.
  • Experience in validating the model results against the stated business objectives.
  • Experience in Python Development
  • Experienced in GenAI or NLP developments and preferably working with Langchain.
  • Experience on AWS or Azure and on cloud technologies like AWS Sagemaker
  • Experience in Agile software development methodologies.
  • Strong mindset on the team results and achievements and the ability to translate business requirements into actionable analytics initiatives.
  • Hands-on, proactive and have an entrepreneurial mindset.
  • Fluent in english.

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