Data Scientist

TCS

4 - 15 years

Bengaluru

Posted: 01/03/2025

Job Description

Job Description

      Developed & delivered Machine learning models for industrial problems having large time series data

      In entire data lifecycle involving data collection, exploratory data analytics, data cleansing, feature selection, model development, self-tuning, sensitivity analysis, validation, deployment

      Experience of creating & using advanced ML algorithms and statistics: regression (decision tree, SVM) , simulation, scenario analysis, modeling, clustering, neural networks (LSTM, RL), etc.

      Using Python especially in solving Machine learning / optimization / control problems

      In visualizing/presenting data using tools such as  Matplotlib, Power BI, QlikView, Tableau, Spotfire , ggplot, D3js

 

      Development and deployment of ML based algorithm in cloud environment such as Azure, AWS, Google

      Experience of developing algorithms for NLP, Computer vision, Video analytics

      Experience in analyzing data from 3rd party tools.

      Experience working with and creating data architectures.

      Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

      Exposure on R, Image Analytics

 

Location
Bangalore
Job Function
TECHNOLOGY
Role
Developer
Job Id
350403
Desired Skills
Data Science
Desired Candidate Profile
Qualifications : BACHELOR OF TECHNOLOGY

About Company

Tata Consultancy Services (TCS) is one of the largest multinational IT services and consulting companies in the world, headquartered in Mumbai, India. It operates in over 50 countries and is a part of the Tata Group, India's largest business conglomerate. TCS offers a wide range of services including software development, consulting, digital transformation, and business solutions, serving industries such as finance, healthcare, retail, and telecommunications. Known for its global reach, technological expertise, and innovation, TCS is consistently ranked among the top IT services companies globally.

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