Chennai Walk in for Data Science

Tata Consultancy Services; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Tata Consultancy Services in Chennai, India is seeking a Data Scientist to design and deploy machine learning models that drive business outcomes. You will select features, build classifiers, and optimize models while enhancing data collection and ensuring data integrity for analytics.

You will work with cross-functional teams to implement models, monitor performance, and present clear findings. Strong ML knowledge, Python, SQL, and communication skills are essential for success in this role.

Qualifications

• Minimum 4+ years of experience manipulating data sets and building statistical models.
• Strong communication skills and collaborative mindset.
• Experience with data architectures and product development.
• Self-motivated individual contributor with organizational skills.

Responsibilities

• Deliver high-quality applications and solutions.
• Select features, build and optimize classifiers using ML techniques.
• Enhance data collection to improve analytics systems.
• Cleanse and verify data integrity for analysis.
• Perform ad-hoc analysis and present results clearly.
• Create automated anomaly detection and monitor performance.
• Collaborate with stakeholders to leverage data for business solutions.
• Mine and analyze data to optimize development and business strategies.
• Assess new data sources and data gathering techniques.
• Develop data models and algorithms for datasets.
• Coordinate with teams to implement models and monitor outcomes.
• Develop processes and tools to monitor model performance and data accuracy.

Skills

Machine learning

Python

SQL

Data visualization

Statistical modeling

Communication

Data wrangling

Fluent English

Education

Bachelor's degree in CS/Statistics

Tools

NumPy

Pandas

Scikit-learn

Hive

MongoDB

D3.js

Flask

Job description

RESPONSIBILITIES / EXPECTED DELIVERABLES FROM DATA SCIENTIST

• Delivering high-quality application
• Selecting features, building and optimizing classifiers using machine learning techniques
• 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