United States onlyWe are looking for a Data Science & Machine Learning Engineer to work on large-scale cybersecurity data platforms, applying data science and machine learning to detect anomalies and strengthen security systems.
Requirements
- 5+ years of professional experience in data science
- 2+ years of Python development experience
- Bachelor’s degree in Computer Science, Information Technology, Network or Security Engineering, System Administration, or equivalent experience
- Proficiency with business intelligence tools (PowerBI, Tableau) and big data technologies (Hadoop, Kafka, Spark)
- Experience preparing datasets for machine learning and developing ML models
- Strong mathematics and statistical analysis skills
- Knowledge of cybersecurity concepts and best practices is preferred
- Excellent technical writing and communication skills to translate complex data for varied audiences
- Experience visualizing data effectively and performing exploratory data analysis
- Ability to manage multiple priorities, meet deadlines, and adapt to evolving needs in a fast-paced environment
- Team-oriented, ethical, and proactive with strong problem-solving skills
Benefits
- Competitive salary (benchmarking based on market rate and role scope)
- 99% coverage of medical, dental, and vision insurance for full-time employees; 25% contribution toward family coverage
- 100% paid short-term disability and life insurance for full-time employees
- Paid certifications and professional development opportunities
- 401(k) matching up to 4%
- Paid time off, federal holidays, and 40 hours for innovation projects
- Wellness and fitness programs, reimbursement for transit and parking, and FSA programs
- Referral bonuses and access to online education and training resources
Colombia only
