Senior Data Scientist - GenAI / RAG

• 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., About the Role: As a Senior Data Scientist in Enterprise Products at Tavant Technologies, you will utilize advanced analytical techniques to drive insights from large datasets. Your role will involve building predictive models and enhancing data-driven decision-making processes within the organization. You will collaborate with various teams to identify opportunities for leveraging data to optimize products and services.

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.

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., * Strong proficiency in programming languages such as Python or R.

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of statistical analysis techniques and data modeling.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Ability to work with databases and query large datasets using SQL.
• Strong problem-solving skills and the ability to think critically.
• Excellent communication and collaboration skills.

Preferred Skills:

• A master’’s or Ph.D. in computer science, statistics, mathematics, or a related field.
• Experience in the tech industry or with enterprise-level software products.
• Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud)., * 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.