Data Scientist

5 - 10 years

16 - 27 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: Data Scientist (ML/NLP)

Job Summary:

We're seeking a skilled Data Scientist to join our team, leveraging expertise in Machine Learning, NLP, Python, and SQL to drive business insights and inform decision-making.

Key Responsibilities:

- Develop and deploy machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch)

- Apply NLP techniques to analyze and process text data (e.g., sentiment analysis, topic modeling)

- Write efficient SQL queries to extract and manipulate data from relational databases

- Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions

- Communicate complex data insights and recommendations to stakeholders

Requirements:

- Strong knowledge of Python programming language and relevant libraries (e.g., Pandas, NumPy)

- Proficiency in machine learning algorithms and techniques (e.g., supervised, unsupervised, deep learning)

- Experience with NLP techniques and libraries (e.g., NLTK, spaCy)

- Strong knowledge of SQL and experience with relational databases

- Excellent analytical and problem-solving skills

Nice to Have:

- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)

- Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure)

- Knowledge of data visualization tools (e.g., Tableau, Power BI)

- Certification in data science or machine learning (e.g., Data Scientist in Python)

Some specific tasks you might perform in this role include:

- Building and deploying machine learning models for text classification, sentiment analysis, and topic modeling

- Analyzing and processing large datasets of text data

- Developing and maintaining dashboards and reports to track key performance metrics

- Collaborating with cross-functional teams to inform business decisions and drive growth

- Staying up-to-date with new tools and techniques in machine learning and NLP.

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