Senior Data Scientist - NLP

What role you will play in team: You will be a key member of our team, leading the development of natural language processing (NLP) models for sentiment analysis of customer feedback.

What you will do: You will design, build, and deploy NLP models using various techniques, such as transformer networks and deep learning. You will also collaborate with engineers to integrate the models into our existing systems.

Key responsibility:

• Lead the development of NLP models for various tasks, including sentiment analysis, topic modeling, and named entity recognition.
• Develop and maintain data pipelines for processing large volumes of text data.
• Evaluate model performance and make improvements as needed.
• Collaborate with engineers to integrate models into existing systems.
• Stay abreast of the latest advancements in NLP and apply them to improve model accuracy and efficiency.

Required Qualification and Skills:

• Master's degree in Computer Science, Linguistics, or a related field.
• 5+ years of experience in NLP.
• Proficiency in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
• Experience working with large datasets and distributed computing frameworks such as Spark.
• Strong understanding of NLP techniques, including word embeddings, recurrent neural networks, and transformer networks.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional growth and development.
• A challenging and rewarding work environment.
• Work-life balance initiatives.

A Day in the Life: A typical day involves working with large text datasets, developing and testing NLP models, and collaborating with other team members. You will analyze model performance and identify areas for improvement.