Gen AI Data Scientist

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Data Scientist with GenAI Experience  Job Summary:  We are seeking an experienced Data Scientist with a focus on Gen AI and a minimum of 5 years of industry experience. The ideal candidate will have a strong background in machine learning, statistical analysis, and data modeling, with a specific emphasis on extracting insights from textual data. This role involves working on complex NLP projects to derive meaningful patterns and knowledge from large datasets.  Key Responsibilities:  1. **NLP Model Development:**     - Develop and implement NLP models for various applications, including text classification, sentiment analysis, entity recognition, and language translation.     - Utilize machine learning and deep learning techniques to extract valuable information from unstructured text.  2. **Text Preprocessing:**     - Preprocess and clean large volumes of text data to prepare it for analysis.     - Implement techniques such as tokenization, stemming, and lemmatization.  3. **Feature Engineering:**     - Identify and engineer relevant features from text data to improve model performance.     - Implement techniques to capture semantic relationships within the data.  4. **Model Training and Evaluation:**     - Train, fine-tune, and validate NLP models using appropriate algorithms.     - Evaluate model performance using metrics such as precision, recall, F1 score, and accuracy.  5. **Data Analysis:**     - Conduct exploratory data analysis on textual datasets to uncover patterns, trends, and anomalies.     - Use statistical methods to gain insights into the underlying structure of the data.  6. **Collaboration with Cross-Functional Teams:**     - Work closely with data engineers, software developers, and domain experts to integrate NLP solutions into broader systems and applications.     - Collaborate in defining project goals, requirements, and deliverables.  7. **Algorithm Optimization:**     - Optimize and fine-tune NLP algorithms for improved efficiency and accuracy.     - Implement parallel processing and distributed computing techniques for large-scale data analysis.  8. **Stay Updated with NLP Trends:**     - Stay informed about the latest advancements and trends in NLP and machine learning.     - Apply cutting-edge techniques to solve complex business problems.  9. **Documentation:**     - Document methodologies, algorithms, and code for reproducibility and knowledge transfer.     - Prepare clear and concise project reports and documentation.  Qualifications:  - Master's in Computer Science, Data Science, Statistics, or a related field.  - Minimum of 3 years of professional experience in data science, with a focus on GenAi.  - Strong programming skills in languages such as Python or R.  - Expertise in using NLP libraries and frameworks such as NLTK, SpaCy, or TensorFlow.