Applied Data Scientist - Remote

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Applied Data Scientist in India.

As an Applied Data Scientist, you will bridge advanced machine learning techniques with cybersecurity expertise to protect against evolving threats. You will design, implement, and optimize ML models to detect malware with high accuracy and reliability, while collaborating closely with threat researchers and engineering teams. The role requires handling large-scale threat datasets, performing feature engineering, and developing scalable data pipelines. You will define key metrics to evaluate model performance, contribute to ML operations, and support the deployment of models in production environments. This position offers a dynamic environment that combines research, applied machine learning, and impactful contributions to security systems worldwide.

In Short

• Build, train, and optimize machine learning models for malware detection and threat analysis.
• Conduct exploratory data analysis on malware and behavioral datasets to identify patterns and features.
• Perform feature engineering and preprocessing on large-scale structured and unstructured threat data.
• Design, maintain, and optimize scalable data pipelines for ingestion and processing of threat intelligence feeds.
• Define metrics and KPIs to evaluate the effectiveness of ML models in production environments.
• Collaborate with threat researchers, engineers, and other stakeholders to deploy and refine ML solutions.
• Perform rigorous model evaluation across diverse malware and threat scenarios to ensure robust protection.

Requirements

• Strong background in machine learning and data science.
• Experience in cybersecurity and threat analysis.
• Proficiency in programming languages such as Python or R.
• Familiarity with data processing frameworks and tools.
• Ability to work collaboratively in a team environment.
• Excellent problem-solving skills and attention to detail.

Benefits

• Opportunity to work on impactful security projects.
• Collaborative and innovative work environment.
• Professional development and growth opportunities.