Job Description

Flexon Technologies is a leading end-to-end technology solutions provider to the IT and Non-IT industry. They are seeking a Junior Data Scientist to work on Machine Learning and Natural Language Processing projects, utilizing various data science toolkits and libraries to derive insights and develop solutions.

Responsibilities

• Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP).
• Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
• Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these models, such as Sklearn, Keras, Pandas, and TensorFlow.
• Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
• Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn.
• Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs.
• Python, Time Series, LLM, Data Minning

Qualification

Required

• Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP).
• Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
• Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these models, such as Sklearn, Keras, Pandas, and TensorFlow.
• Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
• Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn.
• Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs.
• Python, Time Series, LLM, Data Mining

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