Data Scientist II

This is a fully remote position, open to applicants in Armenia, +1 more country.

📋 Description

• Engage in the complete software development life cycle.

• Assist in the development, documentation, testing, and debugging of machine learning models in production settings.

• Adhere to and help uphold development best practices and standards.

• Actively take part in or occasionally lead Agile ceremonies.

• Provide support to less experienced team members.

• Collaborate with engineering and MLOps teams to comprehend requirements and constraints for various products.

• Work alongside other data scientists and engineers within a compact team format.

• Pursue independent exploration of relevant data science topics and technologies consistently.

• Achieve expertise in a specific domain within cybersecurity applications.

• Attain technical knowledge in feature-engineered, LLM, and generative ML models.

• Create technical documentation for small-scale components based on conceptual designs and specified business requirements.

⛳️ Requirements

• Minimum of 4 years of experience in data science positions is essential.

• A strong academic background (enrollment in a PhD program in a technical field) may serve as a valid substitute for several years of industry experience.

• Robust experience in developing data science solutions using at least one major programming language, such as Python, Java, or C++.

• Comprehensive knowledge of Data Science techniques and methodologies, with a proven ability to apply these methodologies in ongoing projects.

• Some background in Machine Learning (ML) along with experience in at least one application area, such as NLP, Computer Vision, or Generative AI.

• Successfully designed and deployed multiple ML models in an industry setting.

• Proficient with Python-based frameworks like PyTorch, TensorFlow, and scikit-learn.

• Proven ability to work collaboratively with other data scientists and engineers in a small team setting.

• Some experience in mentoring or guiding junior data scientists.

• Strong communication and presentation skills.

• Ability to explain complex technical subjects to non-technical individuals, both verbally and in writing.

• Demonstrated problem-solving capabilities and critical thinking skills with various types of real-world data.

• Familiarity with the Agile/Scrum project development methodology.

• Interest in applications related to cybersecurity.

🏝️ Benefits

• Competitive salaries and benefits.

• Opportunities for personal and professional development.

• Flexibility.