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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

- 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.
- Text Preprocessing:
- Preprocess and clean large volumes of text data to prepare it for analysis.
- Implement techniques such as tokenization, stemming, and lemmatization.
- Feature Engineering:
- Identify and engineer relevant features from text data to improve model performance.
- Implement techniques to capture semantic relationships within the data.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Proficiency in machine learning techniques, including supervised and unsupervised learning.
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Strong understanding of text mining, information retrieval, and semantic analysis.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration skills.
- Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus.

If you are a skilled Data Scientist with a specialization in NLP, passionate about deriving insights from textual data, and have a proven track record, we encourage you to apply. Your expertise will contribute to the advancement of our data science capabilities and the development of cutting-edge NLP solutions.

Payal Singh added Niranjana Balaguru to the chat.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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📌 Gen AI Data Scientist (Bengaluru)
🏢 Fractal Analytics
📍 Bengaluru