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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ML Data Scientist - **Company:** Tata Consultancy Services Limited - **Location:** Cary, NC, United States - **Experience:** Expert - **Salary:** $100,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Neural Networks, JIRA, Microsoft Azure, Big Data, Decision Tree Learning, Cloud Computing, Cluster Analysis, Databases, Fraud Prevention and Detection, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Project Management Software, Microsoft Project, Microsoft Visio, Team Foundation Server, NoSQL, NumPy, Open Database Connectivity, Oracle (Applications), SAS (Software), SQL Databases, Tableau (Software), Virtualization Technology, Web Application Frameworks, Apache Yarn, Flask (Web Framework), Random Forest, Apache Spark, Deep Learning, Pandas, Matplotlib, Pyspark, Scikit Learn, Information Technology, Optimization Algorithms, Xgboost, Apache Kafka, Data Management, Artificial Intelligence Markup Language (AIML), K Means, Recurrent Neural Networks, Docker - **Published:** May 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c616dee9f9248ca8 ## About the Role Do you have experience in ggplot2?, Do you have a Bachelor's degree?, Must Have Technical/Functional Skills * Machine Learning techniques * Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations. * Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm, * Time series - Exponential models, Holt-Winters, ETS, Hybrid, * ARIMA & GARCH. * Deep Learning * Neural Network, Recurrent Neural Networks, * Database * SQL, Advance SQL, Oracle, NoSQL * Data Science Languages * SAS, SAS Enterprise Miner, R Programming, * Python, Spark. Statistical & Data Management Packages * Python - Pandas, Numpy, sklearn, PyOdbc * R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc * Visualization * Tableau, Shiny,ggplot2, dygraphs, matplotlib, seaborn. * Big Data Technologies * Spark (Pyspark & SparkR),Hadoop,Yarn. * PM Tools * MS Project, MS Visio, TFS, JIRA * Cloud ,Web frameworks & Virtualization * Azure, Flask, Docker & Kubernets, Kafka Roles & Responsibilities * -Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services. * -Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques * -Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization) * - Strong leadership and capacity to work as a team player, as well as excellent communication skills * - Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking., Qualifications : BACHELOR OF COMPUTER SCIENCE ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Vectorize all the things! 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