RESPONSIBILITIES / EXPECTED DELIVERABLES FROM DATA SCIENTIST
Delivering high-quality application
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a transparent manner
Creating automated anomaly detection systems and constant tracking of its performance
Work with stakeholders to identify opportunities for leveraging data to drive business solutions
Mine 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 desirable
Knowledge 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 skills
Experience with data visualization tools, such as D3.js, GGplot, etc.
Proficie

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🏢 Tata Consultancy Services
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