Sr. Applied Data Scientist (Remote, IND) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Python, Data Manipulation, Data Visualization, Cloud Platforms, SQL, NoSQL, Distributed Computing, ML Operations, Cybersecurity, Threat Intelligence, Exploratory Data Analysis, Feature Engineering, Model Evaluation, Mentoring

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Applied Data Scientist in India. As a Sr. Applied Data Scientist, you will lead the design, development, and deployment of advanced machine learning models to enhance cybersecurity capabilities. You will work at the intersection of AI and threat intelligence, analyzing large-scale malware and behavioral datasets to detect and prevent emerging cyber threats. This role involves creating scalable data pipelines, evaluating model performance, and collaborating closely with research and engineering teams to implement actionable solutions. You will also mentor junior data scientists, guide best practices in ML operations, and contribute to long-term strategies for threat detection. The position offers a dynamic, mission-driven environment where your work directly impacts the protection of organizations worldwide. Accountabilities Lead the development and optimization of ML models for malware detection with high accuracy and precision. Perform exploratory data analysis and feature engineering on complex malware and behavioral datasets. Design and maintain scalable data pipelines to handle large volumes of threat intelligence data. Define KPIs and evaluation metrics to monitor model performance and effectiveness in production. Collaborate with threat researchers and engineers to develop and deploy ML solutions across environments. Conduct rigorous model evaluations to ensure robustness against diverse and evolving threat scenarios. Mentor and guide junior data scientists, promoting best practices in modeling and ML operations. Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 10+ years of experience in applied data science, machine learning, or related roles. Proficiency in Python, data manipulation, visualization, and ML modeling techniques. Experience with large-scale data processing on cloud platforms such as AWS, Azure, or GCP. Familiarity with distributed computing frameworks like Ray or Apache Spark. Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Elasticsearch) databases. Knowledge of workflow orchestration (Airflow) and ML lifecycle management (MLflow). Experience in ML operations including model deployment, monitoring, and version control. Strong interpersonal and communication skills, with the ability to work across teams and stakeholders. Experience developing ML models specifically for cybersecurity or threat detection. Knowledge of malware behavioral analysis on Windows, Mac, and Linux. Understanding of executable and non-executable file formats. Passion for cybersecurity and threat intelligence research. Benefits Flexible, remote-friendly work environment. Competitive compensation with equity or stock options. Paid time off including birthday leave and other holidays. Professional development programs including workshops, technical talks, and mentorship. Access to Employee Resource Groups (ERGs), wellness programs, and volunteer opportunities. Participation in impactful projects with tangible business outcomes. Recognition as a Great Place to Work™ on a global scale. 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

Lead the design, development, and deployment of advanced machine learning models to enhance cybersecurity capabilities. Collaborate closely with research and engineering teams to implement actionable solutions.