Location – Thiruvananthapuram
Experience – 5 to 9 yrs
- 4–5 years of hands-on experience in data science projects, preferably across different domains.
- Strong statistical expertise, including hypothesis testing, linear and non-linear regression, classification techniques, and probability distributions.
- Proven ability to translate complex business problems into data science use cases with practical impact.
- Experienced in building and validating machine learning models, including classification, regression, and survival analysis.
- Proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, as well as SQL for data querying and analysis.
- Experience handling both structured and unstructured datasets, with expertise in exploratory data analysis (EDA) and data cleaning.
- Strong communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders.
- Familiarity with version control tools such as Git/GitHub and collaborative development workflows.
- A deployment mindset, with an understanding of how to build data products that are usable, scalable, and maintainable.