Data Scientist Engineer

You are looking for a Data Scientist Engineer who has a strong background in data analysis, machine learning, and visualization. The ideal candidate should be highly skilled in Python, Pandas, and Matplotlib, with a proven track record in developing and optimizing data-driven models. Any experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be considered advantageous. In this role, you will be responsible for analyzing and processing large datasets using Python and Pandas. Your primary tasks will include developing and refining machine learning models for predictive analytics, crafting data visualizations using Matplotlib and Seaborn to facilitate decision-making, and conducting data cleaning, feature engineering, and statistical analysis. You will also work with both structured and unstructured data to derive valuable insights and may be required to implement and enhance NER models for specific applications. To qualify for this position, you should have at least 2 years of professional experience and demonstrate a high level of proficiency in Python and essential data science libraries such as Pandas, NumPy, and Scikit-learn. Your background should encompass hands-on experience in data analysis, statistical modeling, and machine learning, along with a solid understanding of SQL and database querying. Familiarity with NLP techniques and NER models will be beneficial. Strong problem-solving and analytical skills are essential to excel in this role. This is a full-time position that offers benefits such as a flexible schedule, leave encashment, and Provident Fund. The work location for this role is in person. If you are passionate about leveraging data science techniques to drive meaningful insights and collaborate with cross-functional teams to deliver data-driven solutions, we encourage you to apply for this exciting opportunity.,