Data Scientist II

🔥 13 hours ago

🌐 Armenia, Spain – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

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Logo of Fortra

Fortra

1001 - 5000 employees

🔒 Cybersecurity

☁️ SaaS

🤝 B2B

💰 Private equity on 2021-06

Cybersecurity • SaaS • B2B

Fortra is a cybersecurity company that provides data-centric security solutions to help organizations discover, classify, and protect sensitive data across endpoints, networks, and cloud environments. Its product portfolio includes cloud data protection, data classification, data loss prevention, brand protection (domain monitoring, phishing protection, social media monitoring, dark web monitoring), offensive security and penetration-testing tools, secure file transfer, managed security and compliance services, and solutions to support safe AI adoption. Fortra primarily serves enterprise and B2B customers across regulated industries to reduce exposure risk, prevent breaches, and strengthen cyber posture.

📋 Description

• Participate in the full software development life-cycle • Help to develop, document, test, and debug machine learning models in production environments • Follow and help enforce development best practices and standards • Actively participate in or sometimes lead Agile ceremonies • Provide assistance to less experienced team members • Engage with engineering and MLOps teams to understand requirements and constraints for multiple products • Collaborate with other data scientists and engineers within a small team structure • Continually pursue independent exploration of related data science topics and technologies • Become a domain expert in one cybersecurity application area • Acquire technical expertise in feature-engineered, LLM, and generative ML models • Write technical documentation for small-scale components based on conceptual design and stated business requirements

🎯 Requirements

• At least 4 years of experience in data science roles is required • Strong academic background (PhD program in a technical field) is an adequate substitute for a few years of industry experience • Solid experience developing data science solutions in at least one major programming language such as Python, Java, or C++ • Solid knowledge of Data Science techniques and methodologies and demonstrated ability to apply these methodologies in active projects • Some Machine Learning (ML) background and experience in at least one application area such as NLP, Computer Vision, or Generative AI • Successfully developed and deployed multiple ML models in industry • Comfortable with Python-based frameworks such as PyTorch, TensorFlow, and scikit-learn • Demonstrated ability to collaborate with other data scientists and engineers within a small team • Some experience assisting or providing mentorship to junior data scientists • Good communication and presentation skills • Ability to convey complicated technical topics to non-technical people both verbally and in writing • Demonstrated problem solving ability and critical thinking skill with various types of real-world data • Experience with the Agile/Scrum project development methodology • Interest in cybersecurity applications

🏖️ Benefits

• Competitive benefits and salaries • Personal and professional development opportunities • Flexibility

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