Senior Data Scientist

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Senior Data Scientist

Role Overview

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 5 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.