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Data Scientist

Daimler -   Bengaluru   Karnataka

Posted 217 days ago

Salary: Not Disclosed

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<h2><span>Description</span></h2><p> </p><p>Responsibilities</p><p>Selecting features, building and optimizing classifiers using machine learning and Deep Learning techniques</p><p>Data mining using state-of-the-art methods</p><p>Extending company’s data with third party sources of information when needed</p><p>Processing, cleansing, and verifying the integrity of data used for analysis</p><p>Doing ad-hoc analysis and presenting results in a clear manner</p><p>Creating automated anomaly detection systems and constant tracking of its performance</p><p>Skills</p><p>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, CNNs, etc.</p><p>Very good experience with common data science toolkits of Python like numpy, pandas, pyTorch. Excellence in at least one of these is highly desirable</p><p>Great communication skills</p><p>Experience with data visualisation tools like matplotlib, Tableau</p><p>Proficiency in using query languages such as SQL</p><p>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</p><p>Good scripting and programming skills</p><p>Data-oriented personality</p><p> </p><h2><span>Qualifications</span></h2><p> </p><p>Responsibilities</p><p>Selecting features, building and optimizing classifiers using machine learning and Deep Learning techniques</p><p>Data mining using state-of-the-art methods</p><p>Extending company’s data with third party sources of information when needed</p><p>Processing, cleansing, and verifying the integrity of data used for analysis</p><p>Doing ad-hoc analysis and presenting results in a clear manner</p><p>Creating automated anomaly detection systems and constant tracking of its performance</p><p>Skills</p><p>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, CNNs, etc.</p><p>Very good experience with common data science toolkits of Python like numpy, pandas, pyTorch. Excellence in at least one of these is highly desirable</p><p>Great communication skills</p><p>Experience with data visualisation tools like matplotlib, Tableau</p><p>Proficiency in using query languages such as SQL</p><p>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</p><p>Good scripting and programming skills</p><p>Data-oriented personality</p>

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