Padmi

Data Scientist (Mumbai)

MumbaiPosted 2 months ago
Data Science And StatisticsMid-levelFull Time; Regular
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Data Scientist JD Location : Jharkhand (Muri), Orissa (Sambalpur), Gujarat (Dahej) Key Responsibilities Solid 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 Required Qualifications At least 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 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. Data Scientist JD Location : Jharkhand (Muri), Orissa (Sambalpur), Gujarat (Dahej) Key Responsibilities Solid 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 Required Qualifications At least 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 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.

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