Data Scientist Apprentice

Transaction Network Services; Bengaluru; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Transaction Network Services (TNS) in India is seeking a data scientist to join our AI Labs. You will analyze complex datasets, build statistical and deep learning models, and deploy ML solutions.

The role emphasizes collaboration with cross-functional teams, data privacy, cloud deployment, and MLOps to automate training, deployment, and monitoring while communicating insights clearly to stakeholders.

Qualifications

• Advanced degree in computer science, machine learning, statistics, or related field.
• 0-1 years of industry experience in a data science role.
• Proficiency in Python programming language and experience with popular data science and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of MLOps practices and experience with tools such as Docker, AWS EMR, or AWS SageMaker.
• Understanding of data preprocessing techniques, feature engineering, and exploratory data analysis.
• Demonstrated ability to work with large data sources with a focus on data privacy and security.
• Solid foundation in software engineering principles.
• Background in software development process and tools with a focus on Jira.
• Experienced in working in a geographically distributed team environment.
• Experience working for leadership located in other countries and cultures as well as large time zone shifts.

Responsibilities

• Utilize expertise in statistical analysis, machine learning, and deep learning to solve complex international business problems.
• Develop, train, and deploy predictive models using machine learning frameworks and tools.
• Perform data preprocessing, feature engineering, and exploratory data analysis to identify patterns and trends.
• Collaborate with domain experts and stakeholders to understand business requirements and translate them into analytical solutions.
• Apply cloud engineering principles to design and deploy scalable and efficient AI solutions in the cloud environment.
• Collaborate with software engineers to integrate machine learning models into production systems.
• Implement MLOps practices to automate model training, deployment, and monitoring processes.
• Communicate complex findings and insights to both technical and non-technical stakeholders through clear and concise reports and visualizations.

Skills

Python

TensorFlow

PyTorch

scikit-learn

MLOps

Docker

AWS EMR

AWS SageMaker

Data preprocessing

Feature engineering

Tools

Docker

AWS EMR

AWS SageMaker

Job description

An extraordinarily talented group of individuals work together every day to drive TNS success, from both professional and personal perspectives. Come join the excellence!

Overview

Transaction Network Services (TNS), a Koch Industries company is seeking a talented and motivated data scientist to work within our AI Labs, India. As a Data Scientist, you will play a crucial role in analyzing complex datasets, building statistical and deep learning models, and implementing machine learning solutions. You will work closely with cross-functional teams to extract insights from data and contribute to data-driven decision-making processes.

Responsibilities

• Utilize expertise in statistical analysis, machine learning, and deep learning techniques to solve complex international business problems.
• Develop, train, and deploy predictive models using machine learning frameworks and tools.
• Perform data preprocessing, feature engineering, and exploratory data analysis to identify patterns and trends.
• Collaborate with domain experts and stakeholders to understand business requirements and translate them into analytical solutions.
• Apply cloud engineering principles to design and deploy scalable and efficient AI solutions in the cloud environment.
• Collaborate with software engineers to integrate machine learning models into production systems.
• Implement MLOps practices to automate model training, deployment, and monitoring processes.
• Communicate complex findings and insights to both technical and non-technical stakeholders through clear and concise reports and visualizations.

Qualifications

Education/Experience:

• Advanced degree in computer science, machine learning, statistical methods, or related field.
• 0-1 years of industry experience in a data science role.
• Proficiency in Python programming language and experience with popular data science and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of MLOps practices and experience with tools such as Docker, AWS EMR, or AWS Sagemaker.
• Understanding of data preprocessing techniques, feature engineering, and exploratory data analysis.
• Demonstrated ability to work with large data sources with a focus on data privacy and security.
• Solid foundation in software engineering principles.
• Background in software development process and tools with a focus on Jira.
• Experienced in working in a geographically distributed team environment.
• Experience working for leadership located in other countries and cultures as well as large time zone shifts.

Communications:

• Excellent communication presentation skills.
• Strong teamwork, communication skills, passion, creativity, productivity learning agility.
• Strong written and verbal communications skills working with internationally based colleagues.
• Ability to articulate and interpret analytical results from developed programs.

Disclaimer

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.