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# Senior Data Scientist

- **Company:** Medinext Global LLC
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Data Visualization, Apache Hadoop, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Standard Sql, Software Deployment, Tableau (Software), Google Cloud, Cloud Platform System, Pytorch, Large Language Models, Snowflake, Apache Spark, Generative AI, Scikit Learn, Xgboost, Machine Learning Operations, Virtual Agents, Databricks
- **Published:** August 27, 2026
- **Apply:** https://www.dice.com/job-detail/7944f48e-b67f-40ac-85dc-246e2a74d415

## About the Role

We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on experience in GenAI (LLMs, RAGs, Agentic workflows). The candidate should not be purely academic or junior; we need someone with practical implementation experience and the ability to interact confidently with customers. Strong communication and product-facing exposure are equally important. Tavant Technologies 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., * Python Machine Learning

 * Data Science Statistical Modeling
 * GenAI / Generative AI
 * LLMs
 * RAG
 * Agentic AI / AI Agents
 * LangChain / LangGraph
 * AWS Bedrock
 * Vector Databases
 * SQL
 * Machine Learning Model Deployment / Production AI
 * Strong Communication / Client-Facing

Preferred Skills

 * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
 * Proficiency in data visualization tools (e.g., Tableau, Power BI)
 * Familiarity with big data technologies (e.g., Hadoop, Spark)
 * Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud)

Must-Haves

 * 5 to 7 years of Relevant experience is needed
 * Hands-on Agentic AI production experience
 * RAG implementation depth
 * AWS Bedrock experience
 * Strong traditional ML/DS background
 * 12+ months continuous, recent hands-on GenAI/LLM work
 * Production deployment experience
 * Client-facing/consulting communication skills
 * Willing to attend an in-person interview at Tavant''''s Santa Clara, CA office

Nice to Haves

 * Someone from the energy domain is highly preferred
 * Databricks, Snowflake, specific frameworks like XGBoost/CatBoost, LLMOps/eval tooling

## Description

* Develop and implement machine learning algorithms to solve complex business problems.
 * Analyze large datasets to generate insights and inform decision-making processes.
 * Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
 * Communicate findings and recommendations effectively to technical and non-technical stakeholders.
 * Stay current with the latest advancements in data science and machine learning technologies.


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