4 Empregos para Gerente De Dados - Portugal

WELCOME TO OLX
At OLX, we work together to build a more sustainable world through trade
.

We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom, AutoTrader, Property24.

Join OLX and see how far you can go
.

JOIN OLX MOTORS DATA SCIENCE TEAM
The Motors Data Science team at OLX is responsible for building and scaling Machine Learning and GenAI solutions across the automotive platforms (Otomoto, Standvirtual, Autovit, OLX) in Europe. We focus on delivering state-of-the-art user-facing AI services that solve every problem for our customers.

As a Data Science Manager, you will lead a team of four Data Scientists and one Machine Learning Engineer. This is a high-impact role where you will not only mentor and grow your team but also have carte blanche to experiment and innovate. You will be exposed to key stakeholders and, most importantly, witness firsthand how your work directly impacts the day-to-day business of our customers.

At OLX, you have the freedom to innovate, iterate fast, and make a real difference every day.

What You Will Do In Data Science At OLX

• Lead the Data Science aspects in the Motors chapter.
• Mentor and manage a team of 5 brilliant people (Data Scientists / MLEs).
• Partner with our Motors Product, Tech and Business teams to get support for innovation (you will be given the opportunity to think outside of the box 10x and not "only" 10% incremental value).
• Find opportunities where Data Science can make a huge impact.
• Scale out existing ML models and GenAI applications.
• Help to translate business requirements into Machine Learning / GenAI projects.
• Track and measure the impact of your models on company goals.
• Build and maintain strong stakeholder relationships. This means translating business needs into actionable Data Science projects by asking the right questions and collaborating closely with stakeholders.
• Collaborate across functions. For example, work seamlessly with SRE, Data Engineering, Product Analytics, and Product teams to get things done in an elegant and timely manner.
• You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Romania, Poland, Spain, Ukraine.
• Most importantly: you will have fun working with us :)

Who We're Looking For

• Based in the Lisbon Metropolitan Area.
• Proficient in English with excellent written and oral communication skills
• Strong presentation skills.
• Able to work in diverse, multi-functional teams with people from different backgrounds.
• Experience in managing Data Science teams.
• Very strong analytical skills. Like really strong So strong that truth and light are your two middle names.
• Solid background in statistics and modeling.
• Good knowledge of Python, which means having experience with at least one of the following: Scikit-Learn, TensorFlow, PyTorch, Pandas.
• At least 4 years of (hands-on) experience with Machine Learning (supervised, unsupervised, etc.).
• Very good knowledge of NLP and Deep Learning (Embeddings, Language Models, Transformers, etc.).
• Good knowledge of Generative AI and Large Language Models (LLMs). Practical experience of an end-to-end implementation will be a huge plus.
• Good understanding of engineering best practices, that is: testing, CI/CD, monitoring, alerting, containers.
• Hands-on experience with SQL.
• Experience with MLOps will be a plus.

Nice To Have

• Exposure to other programming languages such as Kotlin, Java, Scala, etc.
• Experience bringing models into production and serving models at scale.
• Experience using AWS for deploying machine learning solutions.
• Experience with building data pipelines using tools like Spark and Airflow.
• Understanding of A/B testing and experimentation.
• Exposure to MLOps tools.

What We Offer

• Permanent contract.
• Salary + annual bonus up to 20% of your annual gross salary.
• Work with and impact all OLX services in Europe.
• Train and conference budget and free access to Udemy courses.
• Health insurance and life insurance.
• MacBook Pro, along with the necessary accessories to make your work comfortable.

Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us

OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our
Privacy Statement
.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About The Role
We're looking for a Lead Data Science and Machine Learning to join our Data Tribe in

Portugal.

This leadership role is central to shaping the future of intelligent systems across all our brands and markets. You will be responsible for driving our machine learning strategy, managing a high-performing team, and ensuring that data science continues to unlock business value across the organization.

If you're excited to lead impactful AI initiatives in a dynamic food-tech environment, this is your opportunity to make a real difference.

Key Responsibilities

Strategic Support

• Help define the roadmap for the Data Science and Machine
• Learning function and align ML initiatives with company-wide objectives.

Team Leadership

• Build, lead, and mentor a multidisciplinary team of Data Scientists and ML Engineers.
• Foster a collaborative, high-performance culture focused on experimentation and innovation.

Lead Data Science Initiatives

• Recommender systems to personalize customer experiences.
• Forecasting models for supply/demand planning and resource optimization.
• Marketing efficiency models to evaluate ROI and attribution.
• Customer lifetime value models to inform retention strategies.
• Churn and reactivation prediction models to support engagement initiatives.
• Customer segmentation frameworks to support personalization, pricing, and targeting.

Integrate New AI Tools

• Evaluate and deploy modern AI solutions, including LLMs and generative AI, to enhance internal processes and customer interactions.

Enable Experimentation

• Support the design, execution, and analysis of A/B tests and multivariate experiments.
• Promote a scientific approach to decision-making across the business.

Cross-Functional Collaboration

• Act as a bridge between technical and business teams.
• Partner with Product, Engineering, Marketing, and Operations to ensure models
• address real-world challenges and opportunities.

ML Solutions

• Oversee the end-to-end lifecycle of ML models, including development, validation, deployment, monitoring, and retraining.
• Implement MLOps best practices to ensure robustness, scalability, and governance.

Vendor and Tool Management

• Select and manage external platforms or partners related to ML infrastructure, tooling, and data science services.

Promote Data and AI Literacy

• Champion the responsible use of AI and promote awareness of data science capabilities throughout the organization.
• Contribute to the growth of a data-first culture across teams.

Your Profile
Extensive Experience:
6+ years in data science, with 3+ years in a leadership role

managing teams and delivering production ML systems.

Technical Proficiency

• Strong foundation in machine learning, statistical modeling, NLP, time series forecasting, and recommender systems.
• Proficiency in Python, SQL, and ML libraries such as scikit-learn, XGBoost, PyTorch, etc.

Business Orientation

• Passion for solving business problems with data.
• Ability to connect technical work to measurable business impact.

Leadership And Communication

• Proven ability to lead and grow diverse teams.
• Strong communication and stakeholder management skills, especially when translating complex topics for non-technical audiences.

Agile Mindset

• Comfortable working in Agile teams and iterative development cycles.

Tooling & Infrastructure Knowledge

• Experience with data warehouses (e.g., Snowflake), BI tools (e.g., Looker), and orchestration platforms for model deployment.

Benefits

• Hybrid work policy (remote + office).
• 22 annual leave days +2 days extra days for every year of tenure (up to 6).
• 5 training days per year.
• Private health insurance provided by Allianz.
• Food allowance of 7.62€/worked day.
• 24/7 confidential employee assistance program. #

Job ID

Posted since

02-Jul-2025

Organization

Foundational Technologies

Field of work

Internal Services

Company

Siemens S.A.

Experience level

Recent College Graduate

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Fixed Term

Location(s)

• Amadora - Lisboa - Portugal

Create a better #TomorrowWithUs

At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over of the world's most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.

At the Portugal Tech Hub, we take on challenges to make life easier, safer, and more sustainable for us and generations to come. We bring value to the business digitalization transition, from Portugal to the world, in areas such as Artificial Intelligence, Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management, IT Strategy, User Experience, and many more.

With a decade of history and around 1.600 experts, the Portugal Tech Hub is the home of the new technologists – Dream Builders, Impact Creators & Future Makers.

Are you one of them? Come join us

About Siemens Foundational Technologies Department

Siemens Foundational Technologies is the central in-house research unit at Siemens and as such occupies an outstanding position within Siemens' R&D facilities. It acts as a strategic partner to support Siemens' business units with R&D services, protects the company's intellectual property, coordinates the collaboration with top universities worldwide, and supports standardization activities in all business units and regions. Through its R&D activities in Germany, USA, Portugal, China, India, Japan, and Eastern Europe, Siemens Technology helps to secure the company's technological future and strengthen its ambition.

Your mission will be…

This role is an opportunity for a junior data scientist who is enthusiastic about developing of applications in such areas as satellite and drone images processing, industrial monitoring and analytics, power grids optimization, leak detection in the pipelines, and many others. The business demands new ways of data processing, analysis and visualization, as well as performance optimization and process management based on cutting-edge technologies in web, big data and streaming.

What are the responsibilities?

• Contribute to the development of advanced analytics components within industrial systems, spanning Generative AI, computer vision, condition monitoring, signal processing, and beyond
• Leverage large-scale, heterogeneous industrial data to build impactful AI/ML solutions that address real-world operational challenges
• Support the exploration of untapped opportunities in Generative AI and big data for design, engineering, and analytical applications
• Assist in rapid prototyping, feasibility studies, and the formulation of groundbreaking approaches to validate new ideas
• Collaborate with a highly skilled team of machine learning engineers and software developers in a dynamic, innovation-driven environment

We are looking for someone with:

• Strong background in mathematics, physics or computer science
• Experience and deep understanding in machine learning, signal processing and data mining
• Practical experience with deep neural networks (LLMs or computer vision models)
• Basic software development skills (Git, IDE, Linux)
• Good knowledge of Python or another programming language
• Proficiency with basic data structures and algorithms
• Experience in handling and analyzing large data sets

What you can expect from us…

A 12-month internship with allowance on a hybrid and flexible working model designed to enhance your work-life balance while supporting your studies. In addition, you'll have access to online learning platforms and discounts with our partners.

What makes us proud as an employer:

• Merco – Companies and Leaders with the Best Reputation in Portugal (#1 Technology/Manufacturing)
• Forbes – World's Best Employers (#1 Engineering & Manufacturing)
• LinkedIn – LinkedIn Top Companies (#2)
• OnStrategy – REPSCORE 2024: Brands' Reputation in Portugal (#1 Engineering & Electronic Services)
• Fortune – World's Most Admired Companies (#1 Industrial Machinery)
• Teamlyzer – Company with the Best Interviews (#1 Technology)

Selection steps:

Our process starts with a review of your CV and if you move on to the next phase, you will be invited to do a video/phone interview in English. The final step will be an interview with your manager and/or team to get to know you better

Please attach your CV in English.

#Siemens #PortugalTechHub

Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool