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Data Scientist

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Hybrid

Data Scientist

HR India Solutions

Data Scientist

Skills

Google Cloud PlatformSQL QueriesDeep LearningTableauPythonData ScienceData VisualizationNumPypandasPyTorchTensorFlowMachine LearningAWSNLP / Natural Language ProcessingPower BIAzure

20 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

30 September 2026

What they need


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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