Data Scientist II

Fortra; España; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Fortra is seeking an experienced data scientist to develop, enhance, and maintain data science solutions with emphasis on data processing, algorithms, and ML methods. You will work on both existing software products and new development, contributing to a collaborative, Agile team culture.

The role requires strong data science expertise, initiative, and the ability to mentor juniors, with opportunities to explore related topics and become a domain expert in cybersecurity applications.

Formación

• 4+ years of experience in data science roles.
• 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 ML background and experience in 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 mentoring junior data scientists.
• Good communication and presentation skills.

Responsabilidades

• 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 our development best practices and standards.
• Actively participate or sometimes take the lead in 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 on the development of ML models including feature-engineered, LLMs, and generative models.
• Write technical documentation of small-scale components based on conceptual design and stated business requirements.

Conocimientos

Data science

Python

Java

C++

PyTorch

TensorFlow

scikit-learn

Agile/Scrum

Communication

Mentorship

Educación

PhD in a technical field

Herramientas

PyTorch

TensorFlow

scikit-learn

Descripción del empleo

Whether you’re an experienced professional or just getting started, your contributions matter at Fortra. If you’re passionate about tackling meaningful challenges alongside talented team members committed to helping each other succeed, all while having lots of fun, we want to hear from you. We offer competitive benefits and salaries, personal and professional development opportunities, flexibility, and much more!

This position is responsible for developing, enhancing, and maintaining data science solutions with particular emphasis on data processing, algorithms, and machine learning methods. The scope of the role includes both existing software products and new products in development. The ideal candidate has a strong commitment to excellence, confidence in their data science expertise, started to take initiative and works with less supervision, is a creative problem solver, and a team player.

WHAT YOU'LL DO

• 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 our development best practices and standards.

• Actively participate or sometimes take the lead in 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 on the development of ML models including feature-engineered, LLMs, and generative models.

• Write technical documentation of small-scale components based on conceptual design and stated business requirements.

QUALIFICATIONS

• 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.
  

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At Fortra, we’re breaking the attack chain. Ready to join us? Visit our website to learn more about why employees choose to work for Fortra. Remember to connect with us on LinkedIn.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, veteran or disability status.