165 Empregos para Facebook Ads - Portugal

Are you passionate about digital marketing and eager to support businesses in growing their online presence? We are looking for motivated and tech-savvy Polish-speaking  individuals to join a project supporting one of the worlds most prominent social media platforms. You will be providing high-quality assistance to advertisers and agencies across the Polish market, helping them succeed with their online campaigns.

Your Role
As a member of the Advertisers Support team, you will assist small and medium-sized businesses using advertising tools on social media platforms. You will respond to support requests from advertisers and marketing agencies and help them solve issues related to ad placements, billing, features, and performance optimization.

Your Daily Responsibilities
- You will handle customer support through chat, email, and outbound calls in both Polish and English
- You will assist with troubleshooting, bug reporting, and platform navigation
- You will offer guidance on campaign optimization and self-service ad tools
- You will convert written support requests into outbound calls when needed to ensure timely resolution
- You will identify common trends and provide feedback to improve the advertiser experience
- You will work with various tools and manage multiple tasks simultaneously

Working Conditions
You will work 40 hours per week on rotational shifts
Working hours are scheduled between 06:00 and 24:00 from Monday to Sunday
You are entitled to 22 vacation days per year, plus applicable compensation days for working on Portuguese public holidays
Your workplace is based in Lisbon with easy access to metro, bus, and train stations

Requirements
- Fluency in Polish (C2 level or higher) and English (B2 level or higher)
- Strong communication skills and a customer-first attitude
- Familiarity with online advertising platforms or digital marketing is a plus
- Ability to multitask and work in a fast-paced environment
- EU citizenship or a valid work permit for Portugal

Ready to help businesses grow in the digital world? Apply now and join a dynamic international team supporting one of the top players in the tech industry.

AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe. Present across 27 countries with over 5,500 employees, AUTODOC generated revenue of over €1.5 billion in 2024, supplying more than 8.4 million active customers with its 6.6 million vehicle parts and accessories for car, truck, and motorcycle brands.Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Responsibilities

• Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
• Analyze and interpret data to identify potential improvements in marketing strategies.
• Apply uplift modeling methods to target specific customer groups to maximize ROI.
• Collaborate with marketing and sales departments to understand business goals and translate them into analytical tasks.
• Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
• Evaluate and continuously improve analytics and modeling methodologies in line with the latest trends in Data Science.
• Participate in the development and implementation of systems and tools to automate analytical processes.

Requirements

• Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
• Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example CausalML or others.
• Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
• Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.

Nice to have

• Knowledge and experience with Apache Spark and Apache Airflow for processing large data volumes and workflow automation.
• Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
• Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
• Bachelor's or higher degree in Applied Mathematics, Statistics, Computer Science, Economics or a related field.
• Strong communication skills and the ability to effectively interact with both technical specialists and business stakeholders.

What do we offer?

• Competitive salaries based on your professional experience
• Annual vacation of 25 working days and 1 additional day off on your birthday
• Meals Allowance
• Healthcare Insurance
• Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
• AUTODOC Corporate Discount
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes
• Referral Program with attractive incentives
• Flexible working hours and hybrid work
• Fast growing international company with stable employment

Join us today and let’s create a success story together!

AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe. Present across 27 countries with over 5,500 employees, AUTODOC generated revenue of over €1.5 billion in 2024, supplying more than 8.4 million active customers with its 6.6 million vehicle parts and accessories for car, truck, and motorcycle brands.Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Responsibilities

• Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
• Analyze and interpret data to identify potential improvements in marketing strategies.
• Apply uplift modeling methods to target specific customer groups to maximize ROI.
• Collaborate with marketing and sales departments to understand business goals and translate them into analytical tasks.
• Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
• Evaluate and continuously improve analytics and modeling methodologies in line with the latest trends in Data Science.
• Participate in the development and implementation of systems and tools to automate analytical processes.

Requirements

• Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
• Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example CausalML or others.
• Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
• Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.

Nice to have

• Knowledge and experience with Apache Spark and Apache Airflow for processing large data volumes and workflow automation.
• Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
• Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
• Bachelor's or higher degree in Applied Mathematics, Statistics, Computer Science, Economics or a related field.
• Strong communication skills and the ability to effectively interact with both technical specialists and business stakeholders.

What do we offer?

• Competitive salaries based on your professional experience
• Annual vacation of 25 working days and 1 additional day off on your birthday
• Meals Allowance
• Healthcare Insurance
• Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
• AUTODOC Corporate Discount
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes
• Referral Program with attractive incentives
• Flexible working hours and hybrid work
• Fast growing international company with stable employment

Join us today and let’s create a success story together!

AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe. Present across 27 countries with over 5,500 employees, AUTODOC generated revenue of over €1.5 billion in 2024, supplying more than 8.4 million active customers with its 6.6 million vehicle parts and accessories for car, truck, and motorcycle brands.Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Responsibilities

• Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
• Analyze and interpret data to identify potential improvements in marketing strategies.
• Apply uplift modeling methods to target specific customer groups to maximize ROI.
• Collaborate with marketing and sales departments to understand business goals and translate them into analytical tasks.
• Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
• Evaluate and continuously improve analytics and modeling methodologies in line with the latest trends in Data Science.
• Participate in the development and implementation of systems and tools to automate analytical processes.

Requirements

• Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
• Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example CausalML or others.
• Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
• Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.

Nice to have

• Knowledge and experience with Apache Spark and Apache Airflow for processing large data volumes and workflow automation.
• Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
• Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
• Bachelor's or higher degree in Applied Mathematics, Statistics, Computer Science, Economics or a related field.
• Strong communication skills and the ability to effectively interact with both technical specialists and business stakeholders.

What do we offer?

• Competitive salaries based on your professional experience
• Annual vacation of 25 working days and 1 additional day off on your birthday
• Meals Allowance
• Healthcare Insurance
• Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
• AUTODOC Corporate Discount
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes
• Referral Program with attractive incentives
• Flexible working hours and hybrid work
• Fast growing international company with stable employment

Join us today and let’s create a success story together!

AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe. Present across 27 countries with over 5,500 employees, AUTODOC generated revenue of over €1.5 billion in 2024, supplying more than 8.4 million active customers with its 6.6 million vehicle parts and accessories for car, truck, and motorcycle brands.Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Responsibilities

• Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
• Analyze and interpret data to identify potential improvements in marketing strategies.
• Apply uplift modeling methods to target specific customer groups to maximize ROI.
• Collaborate with marketing and sales departments to understand business goals and translate them into analytical tasks.
• Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
• Evaluate and continuously improve analytics and modeling methodologies in line with the latest trends in Data Science.
• Participate in the development and implementation of systems and tools to automate analytical processes.

Requirements

• Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
• Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example CausalML or others.
• Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
• Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.

Nice to have

• Knowledge and experience with Apache Spark and Apache Airflow for processing large data volumes and workflow automation.
• Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
• Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
• Bachelor's or higher degree in Applied Mathematics, Statistics, Computer Science, Economics or a related field.
• Strong communication skills and the ability to effectively interact with both technical specialists and business stakeholders.

What do we offer?

• Competitive salaries based on your professional experience
• Annual vacation of 25 working days and 1 additional day off on your birthday
• Meals Allowance
• Healthcare Insurance
• Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
• AUTODOC Corporate Discount
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes
• Referral Program with attractive incentives
• Flexible working hours and hybrid work
• Fast growing international company with stable employment

Join us today and let’s create a success story together!

AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe. Present across 27 countries with over 5,500 employees, AUTODOC generated revenue of over €1.5 billion in 2024, supplying more than 8.4 million active customers with its 6.6 million vehicle parts and accessories for car, truck, and motorcycle brands.Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Responsibilities

• Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
• Analyze and interpret data to identify potential improvements in marketing strategies.
• Apply uplift modeling methods to target specific customer groups to maximize ROI.
• Collaborate with marketing and sales departments to understand business goals and translate them into analytical tasks.
• Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
• Evaluate and continuously improve analytics and modeling methodologies in line with the latest trends in Data Science.
• Participate in the development and implementation of systems and tools to automate analytical processes.

Requirements

• Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
• Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example CausalML or others.
• Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
• Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.

Nice to have

• Knowledge and experience with Apache Spark and Apache Airflow for processing large data volumes and workflow automation.
• Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
• Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
• Bachelor's or higher degree in Applied Mathematics, Statistics, Computer Science, Economics or a related field.
• Strong communication skills and the ability to effectively interact with both technical specialists and business stakeholders.

What do we offer?

• Competitive salaries based on your professional experience
• Annual vacation of 25 working days and 1 additional day off on your birthday
• Meals Allowance
• Healthcare Insurance
• Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
• AUTODOC Corporate Discount
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes
• Referral Program with attractive incentives
• Flexible working hours and hybrid work
• Fast growing international company with stable employment

Join us today and let’s create a success story together!

AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe. Present across 27 countries with over 5,500 employees, AUTODOC generated revenue of over €1.5 billion in 2024, supplying more than 8.4 million active customers with its 6.6 million vehicle parts and accessories for car, truck, and motorcycle brands.Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Responsibilities

• Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
• Analyze and interpret data to identify potential improvements in marketing strategies.
• Apply uplift modeling methods to target specific customer groups to maximize ROI.
• Collaborate with marketing and sales departments to understand business goals and translate them into analytical tasks.
• Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
• Evaluate and continuously improve analytics and modeling methodologies in line with the latest trends in Data Science.
• Participate in the development and implementation of systems and tools to automate analytical processes.

Requirements

• Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
• Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example CausalML or others.
• Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
• Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.

Nice to have

• Knowledge and experience with Apache Spark and Apache Airflow for processing large data volumes and workflow automation.
• Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
• Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
• Bachelor's or higher degree in Applied Mathematics, Statistics, Computer Science, Economics or a related field.
• Strong communication skills and the ability to effectively interact with both technical specialists and business stakeholders.

What do we offer?

• Competitive salaries based on your professional experience
• Annual vacation of 25 working days and 1 additional day off on your birthday
• Meals Allowance
• Healthcare Insurance
• Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
• AUTODOC Corporate Discount
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes
• Referral Program with attractive incentives
• Flexible working hours and hybrid work
• Fast growing international company with stable employment

Join us today and let’s create a success story together!

AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe. Present across 27 countries with over 5,500 employees, AUTODOC generated revenue of over €1.5 billion in 2024, supplying more than 8.4 million active customers with its 6.6 million vehicle parts and accessories for car, truck, and motorcycle brands.Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Responsibilities

• Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
• Analyze and interpret data to identify potential improvements in marketing strategies.
• Apply uplift modeling methods to target specific customer groups to maximize ROI.
• Collaborate with marketing and sales departments to understand business goals and translate them into analytical tasks.
• Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
• Evaluate and continuously improve analytics and modeling methodologies in line with the latest trends in Data Science.
• Participate in the development and implementation of systems and tools to automate analytical processes.

Requirements

• Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
• Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example CausalML or others.
• Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
• Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.

Nice to have

• Knowledge and experience with Apache Spark and Apache Airflow for processing large data volumes and workflow automation.
• Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
• Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
• Bachelor's or higher degree in Applied Mathematics, Statistics, Computer Science, Economics or a related field.
• Strong communication skills and the ability to effectively interact with both technical specialists and business stakeholders.

What do we offer?

• Competitive salaries based on your professional experience
• Annual vacation of 25 working days and 1 additional day off on your birthday
• Meals Allowance
• Healthcare Insurance
• Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
• AUTODOC Corporate Discount
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes
• Referral Program with attractive incentives
• Flexible working hours and hybrid work
• Fast growing international company with stable employment

Join us today and let’s create a success story together!