Senior Data Scientist
Porto
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-time
Read the full posting
What you’ll work on
Full postingDesign, Build and Expand our data products, taking them to the next level while using state-of-the-art technologies.
Perform analysis and experiments that allow the team to identify opportunities and follow new implementations contributing directly to the evolution of our data products.
From the employer’s posting
Collaboratively design, build, and maintain solutions within our platform using multiple tools applying statistical approaches and machine learning techniques. Working closely with our Engineers and Analysts in highly impactful and complex challenges. Design, Build and Expand our data products, taking them to the next level while using state-of-the-art technologies. Perform analysis and experiments that allow the team to identify opportunities and follow new implementations contributing directly to the evolution of our data products.
Working closely with our Engineers and Analysts in highly impactful and complex challenges. Design, Build and Expand our data products, taking them to the next level while using state-of-the-art technologies. Perform analysis and experiments that allow the team to identify opportunities and follow new implementations contributing directly to the evolution of our data products. WHO YOU ARE
What you’ll bring
All qualificationsCore experience
- You have experience in SQL and Python programming (familiar with TensorFlow and other machine learning libraries).
- Experience with CI/CD tools and cloud environments.
Qualification wording
You have experience in SQL and Python programming (familiar with TensorFlow and other machine learning libraries).
Experience with CI/CD tools and cloud environments.
Tools in this posting
- Python
- SQL
- TensorFlow
Source — Tool mentions in context
- You’re capable to design, model, develop, test and maintain machine learning solutions and you have the experience to productize these solutions. - You have experience in SQL and Python programming (familiar with TensorFlow and other machine learning libraries). - You’ve a strong sense of the data lifecycle and you’re obsessed with data quality.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Apr 15, 2026 · 184d ago
- Recorded sightings
- 206
- Last seen by us
- Oct 15, 2026
- Employer says posted
- Jan 26, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
WHAT YOU’LL DO
- Collaboratively design, build, and maintain solutions within our platform using multiple tools applying statistical approaches and machine learning techniques.
- Working closely with our Engineers and Analysts in highly impactful and complex challenges. Design, Build and Expand our data products, taking them to the next level while using state-of-the-art technologies.
- Perform analysis and experiments that allow the team to identify opportunities and follow new implementations contributing directly to the evolution of our data products.
WHO YOU ARE
- You have a degree in Mathematics, Computer Science, Machine Learning or equivalent specialized training/certification.
- You have at least 5 years of experience in the role or similar with proven experience on data science environments, building and architecture production-level data products.
- You’re capable to design, model, develop, test and maintain machine learning solutions and you have the experience to productize these solutions.
- You have experience in SQL and Python programming (familiar with TensorFlow and other machine learning libraries).
- You’ve a strong sense of the data lifecycle and you’re obsessed with data quality.
- Proactive mindset regarding AI tools and solutions with high impact for the business and productivity.
- You are problem solving oriented and you’re also comfortable speaking English.
- Experience with CI/CD tools and cloud environments.
REWARDS & BENEFITS
- Health insurance for the whole family, flexible working environment and well-being support and tools
- Extra days off, sabbatical program and days for you to give back for the community
- Training opportunities and free access to Udemy
- Flexible benefits program
EQUAL OPPORTUNITIES STATEMENT
- FARFETCH is committed to being an inclusive workplace where diversity in all its forms is celebrated. We make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other classification protected by applicable federal, state or local laws or ordinances. If you require special accommodation, please let us know.
SCAM DISCLAIMER
- It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.
Employment type
Full-time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Porto
Working pattern and location restrictions need checking in the full posting.
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