Data Scientist
Bangalore, Karnataka, India
PradeepIT
PradeepIT, supported by Asia's largest tech professional network, revolutionizing global talent acquisition. Discover the potential of hiring top Asian tech talents at ten times the speed, starting today!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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Classification Clustering Conversational AI Data Mining Data visualization Deep Learning Engineering Flask Keras LLMs Machine Learning ML models NLTK Open Source Pipelines Python PyTorch R Research Scikit-learn Semantic Analysis spaCy Statistical modeling Statistics TensorFlow
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