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Celestir Linkedin · Posted 3d ago

Senior Data Scientist (LangChain, LLM, Bedrock)

Houston, Texas, United States

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About the job


Senior Data Scientist (LangChain, LLM, Bedrock)

Type: Full-Time Onsite

Experience: 10+ Years


This is a 5 days work from Houston office role


Celestir is seeking a Senior Data Scientist for our Enterprise Products team. In this role, you will leverage advanced analytical techniques and machine learning methods to derive actionable insights from complex datasets. Your primary responsibilities will include developing predictive models, analyzing data to identify trends, and collaborating with cross-functional teams to implement data-driven solutions that enhance our enterprise product offerings.


About the Team:

You will be part of a dynamic team of data scientists, analysts, and product managers dedicated to creating innovative solutions for enterprise-level clients. The team thrives on collaboration, leveraging diverse expertise to tackle complex challenges. A culture of continuous learning and knowledge sharing is fostered, allowing team members to stay up-to-date with the latest industry trends and technologies.


You are Responsible for:

Developing and deploying machine learning models to solve business problems.

Analyzing complex datasets to extract actionable insights that contribute to product development.

Collaborating with cross-functional teams to integrate data science solutions into existing products and services.

Providing mentorship and guidance to junior data scientists and fostering a collaborative environment.


To succeed in this role – you should have the following:

Strong experience in machine learning algorithms and statistical modeling techniques.

Proficiency in programming languages such as Python or R, along with data manipulation libraries.

Experience with big data technologies like Hadoop, Spark, or similar platforms.

Excellent analytical skills with the ability to communicate complex findings to non-technical stakeholders.

A degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.

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