Data Scientist

HR India Solutions

Gurugram District, Bengaluru

Hybrid

INR 1,200,000 - 1,800,000

Full time

7 days ago
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Job summary

HR India Solutions is seeking a Data Scientist (ML/NLP) to drive business insights using Python, SQL, and NLP techniques. You will build and deploy models, analyze large text datasets, and create dashboards to inform decisions.

The role emphasizes collaboration with stakeholders and ongoing learning in ML and NLP, with opportunities to work on end‑to‑end data projects within Haryana and Gurugram.

Qualifications

  • Strong knowledge of Python and libraries used for data science.
  • Proficiency in machine learning algorithms and techniques.
  • Experience with NLP techniques and libraries such as NLTK and spaCy.
  • Strong SQL and relational database experience.

Responsibilities

  • Develop and deploy ML models using Python and popular libraries.
  • Apply NLP to analyze and process text data, including sentiment and topic modeling.
  • Write efficient SQL queries to extract and manipulate data.
  • Collaborate with cross‑functional teams on data‑driven solutions.
  • Communicate insights and recommendations to stakeholders.

Skills

Python
SQL
Machine Learning
NLP
Data analysis
Problem solving
Communication

Tools

Pandas
NumPy
scikit-learn
TensorFlow
PyTorch
NLTK
spaCy
Tableau
Power BI
AWS
GCP
Azure

Job description

Job Title: Data Scientist (ML/NLP)

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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