80 Empregos para E-Mail Marketing - Portugal

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!

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!