We are seeking a highly skilled and analytical Data Scientist with 5+ years of experience in building and deploying advanced machine learning models and delivering actionable business insights. The ideal candidate will have a strong foundation in statistics, machine learning, and data engineering, and the ability to work with large-scale datasets to solve real-world problems.
Key Responsibilities :
- Analyze large datasets to extract meaningful insights and develop predictive and prescriptive models using machine learning algorithms.
- Design, develop, and validate ML models for classification, regression, clustering, and recommendation systems.
- Perform data wrangling, cleaning, transformation, and feature extraction to prepare datasets for modeling.
- Work closely with product, engineering, and business teams to understand problems and translate them into data-driven solutions.
- Create dashboards, reports, and data visualizations to communicate findings clearly and effectively.
- Deploy models into production environments and monitor performance, retraining when necessary.
- Stay current with the latest research in AI / ML and apply cutting-edge techniques to business use cases.
Required Skills & Qualifications :
5+ years of experience in data science, machine learning, or advanced analytics.Strong proficiency in Python or R, along with libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, etc.Proficiency in SQL and experience with data querying in relational and non-relational databases.Experience working with big data platforms (e.g., Spark, Hadoop) is a plus.Solid understanding of statistics, probability, and model evaluation techniques.Experience with data visualization tools like Tableau, Power BI, Plotly, or Skills :Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow).Exposure to NLP, deep learning, or time series forecasting.Familiarity with Git, Docker, and CI / CD for model deployment.Prior experience in domains such as finance, retail, healthcare, or telecom is advantageous.ref : hirist.tech)