Applied Data Scientist (Remote) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Cybersecurity, Data Analysis, Feature Engineering, Data Pipelines, Model Evaluation, Python, Cloud Platforms, SQL, NoSQL, Distributed Computing, ML Operations, Communication Skills, Malware Detection, Threat Intelligence, Malware Analysis

Industry

Internet Marketplace Platforms

Description

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. Accountabilities 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. Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 6+ years of combined experience in applied data science and machine learning. Strong proficiency in Python, data manipulation, visualization, and modeling libraries. Experience with large-scale data processing on cloud platforms such as AWS, Azure, or GCP. Knowledge of distributed computing frameworks like Ray or Apache Spark. SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Elasticsearch) database experience. Familiarity with workflow orchestration tools (Airflow) and ML lifecycle management tools (MLflow). Understanding of ML operations, including model deployment, monitoring, and version control. Excellent communication skills and ability to collaborate across teams and stakeholders. Experience building ML models for cybersecurity or threat detection. Familiarity with malware analysis across Windows, Mac, and Linux platforms. Knowledge of executable and non-executable file formats and system internals. Strong interest in cybersecurity and threat intelligence research. Benefits Flexible remote work environment. Competitive compensation with stock options or equity programs. Paid time off, including birthday leave. Professional development opportunities including workshops, tech talks, and leadership sessions. Assigned mentors for ongoing guidance and career support. Employee Resource Groups (ERGs), wellness programs, and volunteer initiatives. Access to meaningful projects with high impact on the organization and industry. Recognized globally as a Great Place to Work™. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

The Applied Data Scientist will build, train, and optimize machine learning models for malware detection and threat analysis while collaborating with threat researchers and engineering teams. The role involves handling large-scale threat datasets and developing scalable data pipelines.