We are looking for a highly skilled Data Scientist with strong expertise in Core Data Science, Machine Learning, Natural Language Processing (NLP), and Deep Learning. The ideal candidate will have hands-on experience developing, training, evaluating, and deploying machine learning and deep learning models to solve complex business problems.

Key Responsibilities

- Develop and implement end-to-end Machine Learning and Deep Learning models for real-world business problems.
- Perform data exploration, preprocessing, feature engineering, model selection, training, and evaluation.
- Apply statistical and mathematical techniques to identify patterns, trends, and insights from complex datasets.
- Build NLP solutions for text classification, sentiment analysis, entity recognition, information extraction, text similarity, and language understanding.
- Develop deep learning models using architectures such as CNNs, RNNs, LSTM/GRU, Transformers, and Attention mechanisms.
- Work with structured and unstructured data and develop scalable data science solutions.
- Perform model optimization, hyperparameter tuning, cross-validation, and error analysis.
- Evaluate models using appropriate metrics and establish model performance benchmarks.
- Collaborate with Data Engineers, ML Engineers, Software Engineers, Product Managers, and business stakeholders.
- Translate business requirements into analytical and machine learning solutions.




- Conduct experimentation and proof-of-concepts and convert successful approaches into production-ready solutions.
- Monitor model performance and continuously improve accuracy, scalability, and efficiency.
- Document methodologies, experiments, models, and results.

Mandatory Technical Skills
- Strong foundation in Core Data Science and Machine Learning.
- Solid hands-on expertise in Python.
- Experience with ML libraries such as Scikit-learn, Pandas, NumPy, SciPy.
- Strong understanding of supervised and unsupervised learning algorithms.
- Experience with:
- Regression and Classification
- Clustering
- Decision Trees / Random Forest
- Gradient Boosting / XGBoost / LightGBM
- Feature Engineering and Selection
- Model Evaluation and Validation

- Strong expertise in NLP concepts and techniques.
- Hands-on experience with NLP libraries/frameworks such as NLTK, spaCy, Hugging Face Transformers.
- Strong understanding of Deep Learning concepts.
- Hands-on experience with TensorFlow or PyTorch.
- Knowledge of neural network architectures including CNN, RNN, LSTM, GRU, Transformer, and Attention.
- Strong understanding of Statistics, Probability, Linear Algebra, and Optimization.
- Experience with SQL and working with large datasets.

Skills: data scientist,nlp,learning,data,core data,machine learning,models,data science,deep learning

📌 Core Data Scientist (Gurugram)
🏢 CG-VAK Software u0026 Exports
📍 Gurugram