Senior data scientist
2 weeks ago
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, Power BI)
Understanding of statistical and machine learning methods
Good understanding of Natural Language Processing and tools (e.g., Lang Chain, 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 Gen AI solutions, including API integrations
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