Data Science Specialist

2 days ago

bangalore, India Publicis Global Delivery (PGD) Full time

You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining, deployment and integration with the back-end product. Ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation, scientific research, experimentation and optimal design.As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving.Development and implementation of ML models for product brand extraction based on product name, description and other attributesDevelopment and implementation of ML-based product matching solutionsDevelopment of text-based product classification toolsAnalyze big amount of data from online retailers using statistical techniques to identify patterns Build ML, statistical and analytical models, forecasting modelsCreate ML\DL solution and infrastructureResponsible for statistical analysis and model research to develop an advanced analytical approach to generate the required insightsDesign and implement efficient, fault-tolerant Machine Learning flows for processing high-velocity, heterogeneous data, including optimization of Machine Learning workflows for building automated decision systems that provide future predictionsProvide statistical analysis of large and complex datasets and ensure accuracy in analysisDevelop innovative and effective approaches to solve analytics problems You will fit right in if you have – 8 years of relevant experience in the domainBachelor’s degree in Computer Science or equivalent4+ years’ experience researching and developing ML models for big data analysisExperience of deep learning in NLP (LSTM, BERT, etc.)Proficiency with any deep learning framework, Tensorflow + Keras is preferred3+ years’ experience and deep understanding of text processing techniques and best practices (classification, NER, text ranking)Python (Pandas, NumPy , scipy, scikit-learn)Textual data processing libraries (NLTK, GenSim)2+ years’ experience of training and productionalization of deep learning models3+ years’ experience of software development in PythonExcellent knowledge of the data science problems, including large scale data and data pipeline managementExcellent presentation skills, communication skills, verbal and writtenExpert in using data analytical and modeling toolsExcellent knowledge in using visualization toolsStrong interpersonal skills and a combination of analytical skills, intellectual curiosity, and accountability

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