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

Cooperative in nature and ability to leverage teams to deliver outstanding results

📌 Chennai Walk in for Data Science
🏢 Tata Consultancy Services
📍 Chennai