Senior Data Scientist - NLP/Machine Learning

Job Summary :

Job Description :

significant experience in text analytics/NLP.

- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.

- Strong programming ability in Python with experience in the Python data science ecosystem : Pandas, NumPy, SciPy, scikit-learn, NLTK, etc.

- Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB)

- Excellent verbal and written communication skills

- Excellent analytical and problem-solving skills

- Degree in Computer Science, Engineering or relevant field is preferred.

- Proven Experience as Data Analyst or Data Scientist

Roles & Responsibilities :

- Lead the design and development of text analytics and NLP solutions, including tokenization, named entity recognition, sentiment analysis, topic modeling, and leveraging LLMs.

- Write efficient and scalable Python code using libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK, etc.

- Analyze large datasets to extract actionable insights and patterns using statistical and predictive modeling techniques.

- Work with SQL and various databases (PostgreSQL, MySQL, Oracle, MongoDB) for data extraction and manipulation.

- Collaborate closely with cross-functional teams including product managers, data engineers, and software developers.

- Communicate complex results and technical concepts clearly to non-technical stakeholders.

- Stay up to date with the latest research and advancements in ML, NLP, and LLM technologies.

Good To Have :

- Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc.

- Experience with using cloud technologies on AWS/ Microsoft Azure.