Data Scientist

Requirements:

• Strong understanding of machine learning algorithms (supervised and unsupervised).
• Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, or similar).
• Experience in NLP techniques and libraries (NLTK, spaCy, Hugging Face, etc. ).
• Solid knowledge of statistics, probability, and data analysis methods.
• Proficiency in SQL for querying relational databases.
• Strong programming skills in Python (or similar languages).
• Excellent communication skills with the ability to explain complex concepts simply.
• 3+ years of hands-on experience as a data scientist or in a similar role.
• Strong expertise in classical machine learning and regression modeling.
• Solid understanding of statistics, including probability, distributions, hypothesis testing, and correlation analysis.
• Proficiency in Python with libraries such as scikit-learn, pandas, and NumPy.
• Experience working with structured/tabular data.
• Strong problem-solving and analytical thinking skills.
• Ability to clearly explain models and results to non-technical stakeholders.