Data Science Leader

4 days ago


Kota, Rajasthan, India beBeeDataScience Full time ₹ 25,00,000 - ₹ 30,00,000
Data Science Role
We are seeking a highly skilled Data Scientist to lead our team in developing cutting-edge solutions using machine learning, deep learning and GEN AI techniques. The ideal candidate will have expertise in data mining, EDA, feature selection, model building and optimization using machine learning and deep learning techniques.

About the Job
As a Data Scientist, you will be responsible for developing strategic solutions to complex problems, analyzing large datasets from various domains, processing, cleansing and verifying data integrity, and performing exploratory data analysis (EDA) using advanced methods. You will also be responsible for selecting features, building and optimizing classifiers/regressors using machine learning and deep learning techniques, enhancing data collection procedures to include relevant information for analytical systems and ensuring data quality and accuracy. Additionally, you will perform ad-hoc analysis and present results clearly to both technical and non-technical stakeholders, creating custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials and other stakeholders.

Required Skills and Qualifications
- Proficient in data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI
- Experience in building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc)
- Proficient in coding in common data science language & tools such as R, Python
- Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc
- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc
- Exposure or knowledge in cloud (Azure/AWS)
- Experience on deployment of model in production
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