Senior Data Scientist
3 weeks ago
Employees are required to be physically present in the office twice a month.
Role/Responsibilities:
- Work on creating data models for specific use cases
- Data mining and data cleaning
- Build visualizations to communicate data to decision-makers.
- Deploy and fine-tune solutions based on commercially available LLMs (e.g., GPT-4)
- Automation of the statistical modeling process
- Communicate your findings to peers and management.
Requirement:
- Undergraduate or graduate degree in a quantitative field or comparable work experience
- 3+ years of experience in statistical modeling/econometrics/machine learning.
- Ability and expertise in extracting insights from data and summarizing takeaways
- Experience with Python
- Ability to prepare and present compelling visualizations (e.g., Tableau, PowerBI)
- Understanding of statistical and machine learning methods
- Good understanding of Natural Language Processing and tools (e.g., LangChain, Hugging Face)
- Good understanding of ML Ops practices and tools
- Ability to work with different teams and communicate ideas and results to different stakeholders
- Interest in Generative AI
Nice to Have:
- Experience in setting and using cloud infrastructure for data science tasks (e.g., Azure, AWS, Google Cloud)
- Experience in writing quality code
- Understanding of data pipelines
- Demonstrated experience with ML Ops tools
- Demonstrated experience with GenAI solutions, including API integrations
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