Data Science Lead (Fashion)

Metyis AG; Porto; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Client exposure

Multidisciplinary teams

Ownership of work

International team

Job summary

Metyis is growing and seeks a Data Science Lead with +5 years of analytics experience to join our Data and Analytics team at the Porto Digital Campus. You will lead client engagements, translate business problems into analytics solutions, and guide a multidisciplinary team.

Based in Porto, you will shape data strategy, oversee projects, and mentor junior members while seeking impactful opportunities beyond current work. This role offers an international, collaborative environment.

Qualifications

• 5-8 years of professional work experience in the analytics domain.
• Advanced degree in a quantitative field (e.g. mathematics, statistics, computer science).
• Ability to think analytically, decompose problems, and derive recommendations from data.
• Strong technical skills in data analysis, statistics, and programming (Python, SQL, R).
• Experience with Python data tools (Jupyter, Pandas, Scikit-Learn, Matplotlib).

Responsibilities

• Manage client interactions and build/maintain client relationships.
• Translate business problems into analytics solutions with measurable impact.
• Provide project management oversight to meet client expectations.
• Develop presentations and manage external relationships.
• Seek opportunities beyond the current project scope.
• Mentor junior team members and orchestrate team efforts.

Skills

Data analysis

Statistics

Programming

Analytical thinking

Team guidance

Education

Master's degree in quantitative field

Tools

Python

Hadoop

SQL

R

Jupyter

Pandas

Scikit-Learn

Matplotlib

Job description

Metyis is Growing! We are looking for a Data Science Lead with +5 years of experience to join our global Data and Analytics team at our Digital Campus in Porto.

Who we are

We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.

Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the‑art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services.

This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech‑driven fashion platform worldwide.

What we offer

• Interact with our clients on regular basis, to drive their business towards impactful change.

• Work in multidisciplinary teams and learn from motivated colleagues.

• A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.

• Become part of a fast growing international and diverse team.

What you will do

• Manage client interactions and play a key role in building and maintaining client relationships.

• Apply knowledge of data science concepts to translate business problems to analytics solutions with clear output and with foreseen impactful outcomes.

• Provide project management oversight required to meet client expectations.

• Responsibilities may include the development of presentations and managing of external relationships.

• Seek compelling opportunities beyond the scope of the current project

• Provide guidance to more junior members of the team, while orchestrating the work of the entire team.

What you will bring

• 5-8 years of professional work experience in the analytics domain.

• An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).

• An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.

• Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.

• Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit‑Learn, Matplotlib).

• Ability to talk the language of statistics, finance, and economics a plus.

• Profound knowledge of the English language.

We are united by our differences

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

Recruitment Disclaimer

Metyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @metyis.com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. If you receive suspicious communication claiming to be from Metyis, please verify the sender and report it through our official website.