Data Scientist

Data Scientist - PradeepIT Consulting Services Pvt Ltd | Career Page

Data Scientist

Bangalore, Karnataka, India

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Job Openings Data Scientist

About the job Data Scientist

Education and Work Experience Requirements

• 5 to 9 years of experience as Data Scientist
• Proven track record and experience with statistical modeling/data mining algorithms such as

o Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines,

Decision Trees etc

o Machine learning, deep learning, graph mining.

o DOE, Forecasting, Segmentation, Uncertainty Analysis etc.

o Data Mining i.e. Text Mining, Classification Methods SVM, NN, etc

o Vector Space model for Unstructured Text

o Sentiment Analysis, Association Mining, Semantic Analysis

• Good knowledge of advanced statistical methods. Experience working with Text Data using

transformer-based model

• Experience in creating statistical models and/or optimization frameworks for improving

processes/products/profits

Expertise with one of the following scripting languages

o Python, R, Tensorflow, Keras, Pytorch

o Scikit-learn, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs

• Good and experience of machine learning algorithms and ability to apply them in supervised and

un-supervised tasks.

• Tech savy and willing to work with open-Source Tools
• Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API
• Prior experience working on Mobility or Healthcare domain will be a plus

Mandatory Skills

• Develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong

focus on language models.

• Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical

methods as necessary, pertaining to customers discovery, and viewing experiences to identify

critical product insights.

• Experience in creating statistical models and/or optimization frameworks for improving

processes/products/profits

• Interact with our research team and with key partners in the market to build end-to-end AI/ML

solutions

Conversational AI, document understanding

• Mine and analyze data, applying statistical methods as necessary, pertaining to customers

discovery, and viewing experiences to identify critical product insights.

• Drive efforts to enable product and engineering leaders to share your knowledge and insights

through clear and concise communication, education, and data visualization.

• Translate analytic insights into concrete, actionable recommendations for business or product

improvement.

• Build and improve reusable tools & modelling pipelines and support knowledge sharing across

several teams.

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Or refer someone

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