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

Requirements

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

Benefits

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!