Why This Role Stands Out
This role offers an exciting opportunity to lead impactful GenAI initiatives and develop cutting-edge solutions within a reputable company. You'll thrive here if you possess a strong blend of traditional ML expertise and practical GenAI implementation experience, coupled with excellent client-facing communication skills. Apply now to leverage your advanced skills and drive innovation in data science.
Quick Overview
Job Description
Senior Data Scientist
Introduction
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.
Responsibilities
- 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.
Requirements
Required Skills
- 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
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