Data Scientist

Location:
Texas City, TX (Hybrid/Onsite)

Mandatory

Skills:

Data Science, Deep Learning, Machine Learning, Agentic AI, Retrieval Augmented Generation, Large Language Model

Desirable Skill:
Data Analysis, Machine Learning Algorithms, Deep Learning Frameworks, Lang chain, AWS Bedrock, AWS

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. 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.

• 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.

• Strong proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks (e.g., Tensor Flow, 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.

• 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).