Data Scientist (They/She/He) - (Hybrid)

eDreams ODIGEO
Barcelona, Spain
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Tech stack

Java (Programming Language) Artificial Intelligence Big Data Databases Computer Engineering Software Debugging Distributed Systems Fraud Prevention and Detection Python (Programming Language) Machine Learning Recommender Systems Tensorflow
+9 more
Software Engineering SQL Databases GitHub Copilot Apache Spark Kubernetes Apache Kafka GPT Software Version Control Programming Languages

Job description

As you contemplate your future you might be asking yourself whats the next step?Start your journey with us Were seeking an experienced Data Scientist to join our Data Science Team in Barcelona If youre ready to soar were ready to take you there You will have the opportunity to either crunch massive datasets using the latest Big Data technologies or solve a quick problem with an already classic algorithm We always promote using the best tool for each task You will be a key player in the organization by designing and implementing advanced analytics and using machine learning to build AIpowered solutions for almost every area in the business like online fraud detection recommendation engines user experience personalization optimizing the flight combinations we offer or the marketing campaigns we launch and virtually every possible area subject to optimization in the business etc Join us and help us reach our ambitious goal of becoming the global leader in online travel Our dynamic team of young talented professionals from over 60 different nationalities is driven by one clear mission: making travel easier more accessible and create better value for our 18 million customers worldwide Inside our Data Science team we research and build cuttingedge solutions to be able to offer more and better combinations of tailored travel plans than any other site We have dozens of machine learning models in production doing hundreds of thousands of predictions that optimize our processes improve the content for our customers and help us adapt to changes in the market The team is constantly analyzing the past to understand it and predicting the future to guide business on making the decisions that drive the most value both for our customers and our business Why eDreams ODIGEOJoin the worlds leading travel subscription platform and one of the largest ecommerce businesses in Europe Millions of customers every year across 44 markets 5 brands 7M members in Prime More than 100 million searches per day Up to 6 billion daily AI predictions(e1) Over ** employees More than 60 different nationalities from all continents 99 permanent contracts 36 average age Were a leading travel tech company revolutionising the travel booking experience through our consumer insight innovative technology market leadership and Prime the worlds first travel subscription program What you will do:The Roles Key Responsibilities and Tasks As an eDOer you will have clear objectives great challenges and a clear overview of how your work contributes to the global company project and its customers As a Data Scientist in the Data Science team you will be in charge of: Conduct predictive analytics to better understand how our customers interact with our products and help us anticipate their needs Collaborate with Product and Business teams in order to embed Machine Learning into our apps services and products and create predictive models and generate insights from our data Coordinate challenge and share the best analytical practices and methods within the organization Stay up to date with the latest developments in Machine Learning technologies and Data Science trends Effectively communicate results and insights with other stakeholders throughout the organization What you need to succeed: Job RequirementsBring your unique perspective speak up and offer disruptive solutions Youll have the opportunity to learn and grow while making a real impact on our team Heres what you need to succeed: Degree in a quantitative field Mathematics Statistics Computer Science Engineering or other quantitative fields 2 years of related experience as a Data Scientist Machine Learning engineer or similar Previous experience in problemsolving strong analytical and technical skills You have a solid understanding of appropriate statistical data mining and machine learning methods for various analysis situations Strong experience coding in Python Other programming languages like Scala R or Java are also valued Experience using frameworks like Spark Tensorflow and the already classic libraries like scikitlearn pandas etc Solid knowledge and use of SQL is important Experience in Big Data technologies; such as distributed computing NoSQLgraph databases or architectures based on Kubernetes airflow or Kafka would be a plus You are committed to following good practices and conventions from code versioning to QA processes and monitorization Written and oral communication skills in English Preferred Qualifications Experience with Applied AI Tools: Demonstrated comfort using practical AI tools such as GitHub Copilot ChatGPT or other AIpowered coding assistants Experimentation Mindset: Curiosity and eagerness to explore experiment with and integrate emerging AIdriven solutions into software development workflows AIEnhanced Problem Solving: Ability to effectively leverage AI tools to debug code streamline development processes and enhance productivity Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities Collaboration with AI: Experience or interest in collaborating closely with AI tools as pair programmers to complement traditional software development practices Whats in it for you?The best talent deserves the best benefits At eDO we want you to be a part of our success story and great culture Heres what we offer: A rewarding Compensation package Prime Plus membership competitive salary and benefits package including flexible benefits performancebased bonuses birthday day off discounts and partnerships relocation support and the possibility of choosing your equipment and even better keeping it for free after 3 years Continuous learning to fuel your growth and explore new horizons Learn and grow with free Coursera access soft skills workshops tech training leadership development and more Plus enjoy a great onboarding program Grow opportunities to empower your career and unleash your potential Personalised career paths and the eVOLVE Program will help you discover grow and thrive Internal mobility opportunities let you pursue horizontal career changes and promotions Your Wellbeing is our priority Embrace Freedom and Flexibility At eDO we value flexibility employee care and transparency We offer a hybrid homeoffice model focused on outcome not timeinseat Youll be able to find the right workpersonal life balance that suits you best Work hard party hard We believe in having fun and connecting with colleagues Join eDO for afterwork events padel tournaments parties and more Create communities based on your passions like sports and music Come to work as you are with no dress code and enjoy free fruit coffee and tea at our offices Enjoy a dynamic and healthy environment Be innovative take risks and share your ideas Our diverse and openminded teams support high performance learning and growth Youll work in an Agile mindset environment with recognition at our core Wanna take a peek into what its like to work at eDO?Follow us on LinkedIn and discover more about life at eDO If you are ready for a career opportunity with unmatched benefits continuous learning and a supportive worklife balance look no further Take your career to new destinations by applying now and help our diverse inclusive and passionate team shape the future of travel now

Requirements

Stay up to date with the latest developments in Machine Learning technologies and Data Science trends Effectively communicate results and insights with other stakeholders throughout the organization What you need to succeed: Job RequirementsBring your unique perspective speak up and offer disruptive solutions Youll have the opportunity to learn and grow while making a real impact on our team Heres what you need to succeed: Degree in a quantitative field Mathematics Statistics Computer Science Engineering or other quantitative fields 2 years of related experience as a Data Scientist Machine Learning engineer or similar Previous experience in problemsolving strong analytical and technical skills You have a solid understanding of appropriate statistical data mining and machine learning methods for various analysis situations Strong experience coding in Python Other programming languages like Scala R or Java are also valued Experience using frameworks like Spark Tensorflow and the already classic libraries like scikitlearn pandas etc Solid knowledge and use of SQL is important Experience in Big Data technologies; such as distributed computing NoSQLgraph databases or architectures based on Kubernetes airflow or Kafka would be a plus You are committed to following good practices and conventions from code versioning to QA processes and monitorization Written and oral communication skills in English Preferred Qualifications Experience with Applied AI Tools: Demonstrated comfort using practical AI tools such as GitHub Copilot ChatGPT or other AIpowered coding assistants Experimentation Mindset: Curiosity and eagerness to explore experiment with and integrate emerging AIdriven solutions into software development workflows AIEnhanced Problem Solving: Ability to effectively leverage AI tools to debug code streamline development processes and enhance productivity Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities Collaboration with AI: Experience or interest in collaborating closely with AI tools as pair programmers to complement traditional software development practices Whats in it for you?

Benefits & conditions

The best talent deserves the best benefits At eDO we want you to be a part of our success story and great culture Heres what we offer: A rewarding Compensation package Prime Plus membership competitive salary and benefits package including flexible benefits performancebased bonuses birthday day off discounts and partnerships relocation support and the possibility of choosing your equipment and even better keeping it for free after 3 years Continuous learning to fuel your growth and explore new horizons Learn and grow with free Coursera access soft skills workshops tech training leadership development and more Plus enjoy a great onboarding program Grow opportunities to empower your career and unleash your potential Personalised career paths and the eVOLVE Program will help you discover grow and thrive Internal mobility opportunities let you pursue horizontal career changes and promotions Your Wellbeing is our priority Embrace Freedom and Flexibility At eDO we value flexibility employee care and transparency We offer a hybrid homeoffice model focused on outcome not timeinseat Youll be able to find the right workpersonal life balance that suits you best Work hard party hard We believe in having fun and connecting with colleagues Join eDO for afterwork events padel tournaments parties and more Create communities based on your passions like sports and music Come to work as you are with no dress code and enjoy free fruit coffee and tea at our offices Enjoy a dynamic and healthy environment Be innovative take risks and share your ideas Our diverse and openminded teams support high performance learning and growth Youll work in an Agile mindset environment with recognition at our core Wanna take a peek into what its like to work at eDO? Follow us on LinkedIn and discover more about life at eDO If you are ready for a career opportunity with unmatched benefits continuous learning and a supportive worklife balance look no further Take your career to new destinations by applying now and help our diverse inclusive and passionate team shape the future of travel now

About the company

As you contemplate your future you might be asking yourself whats the next step? Start your journey with us Were seeking an experienced Data Scientist to join our Data Science Team in Barcelona If youre ready to soar were ready to take you there You will have the opportunity to either crunch massive datasets using the latest Big Data technologies or solve a quick problem with an already classic algorithm We always promote using the best tool for each task You will be a key player in the organization by designing and implementing advanced analytics and using machine learning to build AIpowered solutions for almost every area in the business like online fraud detection recommendation engines user experience personalization optimizing the flight combinations we offer or the marketing campaigns we launch and virtually every possible area subject to optimization in the business etc Join us and help us reach our ambitious goal of becoming the global leader in online travel Our dynamic team of young talented professionals from over 60 different nationalities is driven by one clear mission: making travel easier more accessible and create better value for our 18 million customers worldwide Inside our Data Science team we research and build cuttingedge solutions to be able to offer more and better combinations of tailored travel plans than any other site We have dozens of machine learning models in production doing hundreds of thousands of predictions that optimize our processes improve the content for our customers and help us adapt to changes in the market The team is constantly analyzing the past to understand it and predicting the future to guide business on making the decisions that drive the most value both for our customers and our business Why eDreams ODIGEOJoin the worlds leading travel subscription platform and one of the largest ecommerce businesses in Europe Millions of customers every year across 44 markets 5 brands 7M members in Prime More than 100 million searches per day Up to 6 billion daily AI predictions(e1) Over ** employees More than

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