Chennai Walk in for Data Science

RESPONSIBILITIES / EXPECTED DELIVERABLES FROM DATA SCIENTISTDelivering high-quality applicationSelecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerCreating automated anomaly detection systems and constant tracking of its performanceWork with stakeholders to identify opportunities for leveraging data to drive business solutionsMine and analyze data to drive optimization and improvement of development and business strategies.Assess the effectiveness and accuracy of new data sources and data gathering techniques.Develop custom data models and algorithms to apply to data sets.Coordinate with different functional teams to implement models and monitor outcomes.Develop processes and tools to monitor and analyze model performance and data accuracy.SKILLS:Excellent understanding of machine learning techniques and algorithms, such as kNN, Naive Bayes, SVM, Decision Forests, etc.Experience with common data science toolkits, such as Python, NumPy, MatLab, etc. Excellence in at least more than one of these is highly desirableKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Excellent written and verbal communication skillsExperience with data visualization tools, such as D3.js, GGplot, etc.Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as PostgreSQL, MongoDB, Cassandra, HBaseGood scripting and programming skills Data-oriented personalityExperience with Python Flask A drive to learn and master new technologies and techniques.REQUIREMENTS:Min 4+ yrs. of experience manipulating data sets and building statistical modelsPositive attitude and excellent communication skillsStrong problem solving skills with an emphasis on product development.Experience working with and creating data architectures.Must be a well-organized, composed, self-motivated world-class individual contributor or thriving to become soCollaborative in nature and ability to leverage teams to deliver outstanding results