Data Scientist | 3–6 Years | Bangalore (On-site)

Company Description Zoenix is focused on helping technology and EdTech companies quickly connect with the right talent while maintaining high standards of quality. The organization specializes in staffing, operations, and accessibility work tailored to the needs of modern tech-driven businesses. Zoenix partners with clients who value both speed and rigor in hiring processes and operational support. The team works across diverse roles and functions, offering efficient, dependable solutions that help companies scale. Applicants can expect to join a company that values precision, impact, and strong long-term partnerships.
Role Description The Data Scientist – ML & LLM role at Zoenix is a contract position based in Bangalore with work structured as a remote role. Day-to-day responsibilities include designing, developing, and evaluating machine learning models, including large language models (LLMs), to solve complex business problems. The role involves collecting and preparing data, performing exploratory data analysis, and building analytical pipelines to support decision-making in tech and EdTech contexts. The Data Scientist will collaborate with cross-functional teams to translate business requirements into data-driven solutions, create clear visualizations and reports, and iterate on models for performance and reliability. The position also requires documenting methodologies, ensuring reproducibility, and staying up to date with advances in ML, LLMs, and data science practices.
Qualifications
Strong foundation in Data Science and Statistics, with ability to design, evaluate, and optimize ML and LLM models.
Applied experience in Data Analytics and Data Analysis to derive actionable insights from structured and unstructured data.
Proficiency in Data Visualization tools and techniques to present findings clearly to technical and non-technical stakeholders.
3–6 years of hands-on experience in machine learning, deep learning, or LLM-based solutions, preferably in technology or EdTech domains.
Experience with programming languages and tools such as Python, SQL, and common ML/LLM frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face).
Ability to work independently in a remote setting, manage multiple priorities, and collaborate effectively with distributed teams.
Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or related discipline.
Strong communication skills, attention to detail, and a commitment to ethical, inclusive, and responsible use of data and AI.

Work arrangement
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