Chapter Lead Data Scientist

JTA Consulting, SA; Giugliano in Campania; Remoto; EUR 76.000 - 112.000; Tempo pieno

Descrizione del lavoro

A leading consulting firm is seeking a Chapter Lead Data Scientist, pivotal in technical problem-solving and mentoring within the Operational Data Science team. This role involves leadership in ongoing projects and integration of emerging technologies. Candidates should have a Master's or Ph.D. and 3+ years in Data Science, emphasizing Python and machine learning expertise. The position is fully remote, offering a competitive salary and benefits.

Servizi

15th Month Bonus Salary Policy

Company-Paid Certifications

Home Office Budget

Training and career progression

Team Building Activities

Competenze

• 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, with at least 1 year in a technical leadership role.
• Proven track record in the full Data Science lifecycle.

Mansioni

• Maintain a clear view of the entire project portfolio and ensure consistency in quality.
• Collaborate with stakeholders to ensure technical solutions meet client objectives.
• Act as a mentor and coach, promoting best practices in code quality.

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;

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