Data Science Engineer

About the Role We are looking for a skilled Data Scientist to analyze complex data, build predictive models, and deliver actionable insights that drive business decisions. The ideal candidate should have strong expertise in machine learning, statistical analysis, and data engineering fundamentals. Key Responsibilities Analyze large and complex datasets to extract meaningful insights Design, develop, and deploy machine learning models Collaborate with cross-functional teams (engineering, product, business) Build and optimize data pipelines for structured and unstructured data Perform data cleaning, feature engineering, and exploratory data analysis (EDA) Present findings using data visualization tools and storytelling techniques Monitor model performance and continuously improve accuracy Work on real-time and batch data processing systems Qualifications Bachelor's degree in Computer Science, or a related field along with Certified from recognized institute/university Proven experience of 2 to 3 years as a Data Science Engineer Minimum 3 years of experience in Generative AI, Data Analytics, Statistical Modeling, Process, Python Required Skills Strong proficiency in Python (Pandas, NumPy, Scikit-learn) Experience with Machine Learning & Statistical Modeling Hands-on experience with SQL and databases Knowledge of Data Visualization tools (Power BI, Tableau, Matplotlib, Seaborn) Experience with ML frameworks (TensorFlow / PyTorch) Understanding of data pipelines & ETL processes Familiarity with cloud platforms (AWS / Azure / GCP) Strong problem-solving and analytical skills Preferred Skills Experience with Deep Learning (CNNs, RNNs, Transformers) Hands-on exposure to Generative AI / LLMs (OpenAI, LangChain, etc.) Experience with Big Data tools (Spark, Hadoop) Knowledge of MLOps (Docker, CI/CD, Model Deployment)