Chapter Lead Data Scientist

JTA Consulting, SA; Napoli; Remoto; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading consulting firm is searching for a Chapter Lead Data Scientist to oversee their data science operations. This pivotal role involves mentoring the team, guiding project direction, and bridging technological insights with practical applications. The ideal candidate will possess extensive experience in data science and a strong educational background, with opportunities for career advancement and learning in a dynamic environment.

Servizi

15th Month Bonus Salary Policy

Company-Paid Certifications

Home Office Budget

Training, career progression and support

Team Building Activities

Competenze

• 3+ years of experience in Data Science and Python.
• Experience in a technical leadership role for at least 1 year.
• Proven track record in the Data Science lifecycle.

Mansioni

• Provide technical direction to data science projects while mentoring team members.
• Ensure alignment with best practices across the data science portfolio.
• Act as a key connector between Operational and R&D teams.

Conoscenze

Python

Data Science

Machine Learning

Problem Solving

Formazione

Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science

Descrizione del lavoro

At JTA Consulting, SA (Permanent), in Porto, Portugal

Expires at : 2025-10-08

Remote policy : Full remote

THE ROLE

JTA is looking for a Chapter Lead Data Scientist to join our team. This is a pivotal role that blends hands-on technical problem-solving with mentoring across our Operational Data Science team. As a Chapter Lead, you’ll provide technical direction to ongoing data science projects and establish bridges between the different projects, while mentoring team members and ensuring alignment with best practices across the entire portfolio. You will also serve as a key connector between the Operational and the R&D team, ensuring that emerging technologies and research insights are effectively integrated into real-world applications.

DETAILED ROLE

• Maintain a clear view of the entire project portfolio, identifying opportunities to connect technical efforts across team members and ensure consistency in quality and methodology across the portfolio.
• Collaborate with business stakeholders and sales team to ensure technical solutions meet client objectives effectively.
• Act as a mentor and coach, promoting best practices in code quality, model development, and lifecycle management.
• Lead internal initiatives to strengthen knowledge sharing, chapter cohesion, and technical excellence across JTA’s Data Science practice.
• Help shape the career development of more junior team members.
• Ensure continuous integration and deployment (CI / CD) of existing solutions and actively participate in code and algorithm reviews.

Main requirements

• Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of experience in Python, Data Science, and Machine Learning, preferably with at least 1 year in a technical leadership role.
• Proven track record on taking ownership of the full Data Science lifecycle, including the conceptualization, implementation and communication to the stakeholders of the solution.
• Strong balance between theoretical foundations and implementation skills.
• Capable of supporting the work of more junior positions and interconnecting its efforts with remaining development teams (e.g., Data Engineering and DevOps).
• Strong programming capabilities , with an emphasis on following best practices in software development to create robust and maintainable solutions.
• Excellent problem-solving skills and a collaborative mindset.

Nice to have

• Experience with Recommendation Systems and / or Customer Journey Modelling in a B2B setting is a plus.
• Fully Remote or Hybrid Work System (decided by the employee);
• 15th Month Bonus Salary Policy;
• Participation in International Projects;
• Company-Paid Certifications;
• Home Office Budget;
• Training, career progression and support;
• Team Building Activities;