Senior Data Scientist

2 weeks ago

INDBangalore Office Block A Thanisandra Main Rd, India Ecolab Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Responsibilities:

  • Collaborate with business stakeholders to understand and refine data-related questions and requirements
  • Utilize advanced analytics to uncover hidden insights in large datasets and provide actionable recommendations.
  • Design and implement data models and algorithms to support data-driven decision making.
  • Investigate internal and external data sources to determine availability, quality, and relevance
  • Identify, collect, and analyze relevant data needed to address specific business challenges
  • Propose solutions to close data gaps.
  • Define data structures, formats, and transformation logic needed to support reporting and analytics.
  • Leverage data science techniques to uncover trends, patterns, and correlations in large datasets.
  • Apply data science techniques to automate data validation processes and enhance data integrity.
  • Conduct thorough quality assurance checks on data to ensure accuracy and reliability.
  • Present findings and insights clearly to business stakeholders.
  • Stay current with emerging trends and technologies in data research, business intelligence, and data science.

Skills: 

  • 5+ years hands-on work experience in the domain of data science & analytics (work experience in IT, software engineering, data engineering or any other areas is to be treated as 'extra' and optional).
  • Proficient in AI/ML algorithms and implementation experience with Python libraries. (Pandas, Numpy, scikit-learn, TensorFlow, Keras)
  • Data mining & preparation using Python.
  • Proficient in statistical analysis to drive decisions.
  • Build and verify hypothesis based on abstract problem statement.
  • Practical experience with Databricks for writing and deploying code through jobs and pipelines.
  • Proficiency SQL (programming languages) for data science related assignments.
  • Experience on building and deploying pipelines in Microsoft azure.
  • Design and implement Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA.
  • Fine-tune and evaluate Large Language Models for industry-specific tasks.
  • Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face.
  • Deep understanding of LLMs, prompt engineering, and transformer architectures.
  • Educational background in Math / Statistics / Engineering / Science.
  • Strong communication and teamwork abilities, with the ability to convey complex technical concepts to non-technical stakeholders.

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