Walk-in || Chennai Walk in drive Data Science at Tata… · Chennai

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 clear 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.
• Proficiency in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as PostgreSQL, MongoDB, Cassandra, HBase
• Good scripting and programming skills
• Data-oriented personality
• Experience 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 models
• Positive attitude and excellent communication skills
• Strong 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 so
• Collaborative in nature and ability to leverage teams to deliver outstanding results