Job Summary :
We are seeking a Senior Data Scientist with a strong foundation in machine learning and hands-on expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). The ideal candidate will have deep experience in Pythons data science ecosystem, advanced analytical skills, and a passion for solving complex business problems through data-driven approaches. You will play a key role in designing, developing, and deploying ML models and NLP pipelines that power intelligent business solutions.
Job Description :
- Strong background in machine learning (unsupervised and supervised techniques) with
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 skillsExcellent analytical and problem-solving skillsDegree in Computer Science, Engineering or relevant field is preferred.Proven Experience as Data Analyst or Data & Responsibilities :Develop and implement machine learning models (supervised and unsupervised) for real-world business use cases.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 To Have :Familiarity with Hive, Pig and Scala.Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc.Experience with using cloud technologies on AWS / Microsoft Azure.(ref : hirist.tech)