Senior Data Scientist

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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.

Required Experience:

Senior IC

Responsibilities:Collaborate with business stakeholders to understand and refine data-related questions and requirementsUtilize advanced analytics to uncover hidden insights in large datasets and provide actionable recommendations.Design and implement data models and algorithms to support data-drive...

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.

Required Experience:

Senior IC

Key Skills

Laboratory Experience
Mammalian Cell Culture
Biochemistry
Assays
Protein Purification
Research Experience
Next Generation Sequencing
Research & Development
cGMP
Cell Culture
Molecular Biology
Flow Cytometry

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