As Engineering Lead within our Merchant Operations department you will lead teams who build resilient systems to handle million requests per day without downtime. Your actions have a high impact in making Zalando become the best high quality Marketplace in the Fashion Industry. Ensuring article data quality, handling high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch, your teams optimise the overall merchant experience at an incredible, international scale.
WHERE YOUR EXPERTISE IS NEEDED
Develop and execute mid- & long-term technical vision and architectural direction to:
Create highly scalable solutions
Facilitate collaboration, communication and decision-making between the engineering team, product specialists and stakeholders. You partner with product owners, engineering and architecture teams to influence product strategy and drive the product development roadmap
Attract, onboard, develop and retain diverse top talents to your team and transform the landscape of Zalando’s Merchant platform
WHAT WE'RE LOOKING FOR
A solid background in software engineering with a strong understanding of core priorities, KPI’s and underlying system architecture
Significant experience leading and developing cross-functional engineering teams within an international, agile environment. You have effective communication skills in English, with an ability to understand and translate business and user requirements across teams
Extensive experience in object-oriented and functional programming languages with a profound knowledge of REST APIs and highly distributed, scalable and resilient micro services landscapes
You think creatively, are solution oriented, adaptable to change, and have a drive for continuous innovation
Responsible for maintaining trustful relationship with your teams, leading them and setting a high standard as an example
Keeping business in mind, you are capable of making your teams accountable and responsible for decisions made by providing strong sense of ownership.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . We do have services written in Java, Go, NodeJS, Haskell and many more .
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive on boarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Please note that all applications must be completed using the online form - we do not accept applications via e-mail.
Apr 01, 2019
Full-time
As Engineering Lead within our Merchant Operations department you will lead teams who build resilient systems to handle million requests per day without downtime. Your actions have a high impact in making Zalando become the best high quality Marketplace in the Fashion Industry. Ensuring article data quality, handling high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch, your teams optimise the overall merchant experience at an incredible, international scale.
WHERE YOUR EXPERTISE IS NEEDED
Develop and execute mid- & long-term technical vision and architectural direction to:
Create highly scalable solutions
Facilitate collaboration, communication and decision-making between the engineering team, product specialists and stakeholders. You partner with product owners, engineering and architecture teams to influence product strategy and drive the product development roadmap
Attract, onboard, develop and retain diverse top talents to your team and transform the landscape of Zalando’s Merchant platform
WHAT WE'RE LOOKING FOR
A solid background in software engineering with a strong understanding of core priorities, KPI’s and underlying system architecture
Significant experience leading and developing cross-functional engineering teams within an international, agile environment. You have effective communication skills in English, with an ability to understand and translate business and user requirements across teams
Extensive experience in object-oriented and functional programming languages with a profound knowledge of REST APIs and highly distributed, scalable and resilient micro services landscapes
You think creatively, are solution oriented, adaptable to change, and have a drive for continuous innovation
Responsible for maintaining trustful relationship with your teams, leading them and setting a high standard as an example
Keeping business in mind, you are capable of making your teams accountable and responsible for decisions made by providing strong sense of ownership.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . We do have services written in Java, Go, NodeJS, Haskell and many more .
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive on boarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Please note that all applications must be completed using the online form - we do not accept applications via e-mail.
Do you want to build resilient systems to handle million requests per day without downtime? Are you ready to make an impact by helping Zalando become the best high quality Marketplace in the Fashion Industry?
As Software Engineer within our Merchant Operations department you will be building the merchants platform - ensuring article data quality, handling Identity and Access Management and security topics, high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch.
WHERE YOUR EXPERTISE IS NEEDED
Create highly scalable solutions and own the entire development cycle - from architecture design to testing to implementation and maintenance
Own your code and decide on the technologies and tools to deliver as well operate large-scale applications on cloud (AWS or Kubernetes), based on a micro services architecture
Take a leading role in extending and improving integration, evolving our systems to scale as per our merchants demands.
WHAT WE'RE LOOKING FOR
Knowledge and passion on Identity Access Management and Security topics
Experience on JAVA and JBOSS
Pragmatic and curious, find right tool for the right job (we solve business problems, with lots of more easy algorithms)
Experience in software development, involving designing and developing large-scale, distributed software applications, tools, systems and services
Knowledge of micro services and cloud architectures as well as experience with cloud platforms, preferably Kubernetes
Knowledge in architecture / design methods and patterns, data and API specifications, quality assurance and testing methods
Passion to learn new and different languages like Golang, NodeJS, Scala, etc.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . But don’t worry if you never tried Scala, as long as you are motivated to learn. Also, as a way to start, we do have services written in Java, Go, NodeJS, Haskell and many more . You’ll certainly enjoy working with us even more if you are motivated to learn.
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive onboarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Apr 01, 2019
Full-time
Do you want to build resilient systems to handle million requests per day without downtime? Are you ready to make an impact by helping Zalando become the best high quality Marketplace in the Fashion Industry?
As Software Engineer within our Merchant Operations department you will be building the merchants platform - ensuring article data quality, handling Identity and Access Management and security topics, high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch.
WHERE YOUR EXPERTISE IS NEEDED
Create highly scalable solutions and own the entire development cycle - from architecture design to testing to implementation and maintenance
Own your code and decide on the technologies and tools to deliver as well operate large-scale applications on cloud (AWS or Kubernetes), based on a micro services architecture
Take a leading role in extending and improving integration, evolving our systems to scale as per our merchants demands.
WHAT WE'RE LOOKING FOR
Knowledge and passion on Identity Access Management and Security topics
Experience on JAVA and JBOSS
Pragmatic and curious, find right tool for the right job (we solve business problems, with lots of more easy algorithms)
Experience in software development, involving designing and developing large-scale, distributed software applications, tools, systems and services
Knowledge of micro services and cloud architectures as well as experience with cloud platforms, preferably Kubernetes
Knowledge in architecture / design methods and patterns, data and API specifications, quality assurance and testing methods
Passion to learn new and different languages like Golang, NodeJS, Scala, etc.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . But don’t worry if you never tried Scala, as long as you are motivated to learn. Also, as a way to start, we do have services written in Java, Go, NodeJS, Haskell and many more . You’ll certainly enjoy working with us even more if you are motivated to learn.
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive onboarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Jun 02, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Jun 02, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics.
We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels.
You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities:
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications:
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First – Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education:
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education:
Masters in Computer Science or similar is preferred
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
May 04, 2019
Full-time
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
The Boeing Company is looking for a talented results driven Senior Data Scientist with applied experience in the fields of Artificial Intelligence and Machine Learning to join our team in Bellevue, WA. The Senior Data Scientist will have the opportunity to lead a small team of highly talented data scientists building next generation enterprise products and services on the Boeing AnalytX platform.
As a Senior Data Scientist, you will have the chance to be part of building advanced predictive models and launch them into production, learn and apply modern machine learning techniques and see how AI and ML drives impact on Boeing. At Boeing, we are already making a difference across the industry using collective machine intelligence to deliver strong, rich and safer product experience to our commercial and government customers. We are expanding and growing in all areas in the frontier of aerospace industry. We are working on projects that utilize the latest techniques in Machine Learning (including Deep Learning, Neural network), Natural Language Processing and deep infrastructure. Paramount to success in this role is the ability to determine, define and deploy predictive/prescriptive analytic solutions to identify and perform root cause analysis on adverse trends, by choosing best fit methods, defining algorithms, and validating and deploying models to achieve results.
Position Responsibilities
Lead a small team of data scientists to build products and services to delight our partners and customers.
Analyze highly complex problems and deliver requirements specification, processing, analysis, deliverables and presentations.
Work with partners and product managers to identify opportunities for improvements
Own Data Science solution direction as well as the tactical execution to deliver results.
Address partner pain points by building and deploying AI/ML products and services.
Collaborate with customers and stakeholders to foster improvements, build culture, and best practices
Coach and mentor team members to deliver cutting edge AI/ML solutions.
Work with large and highly complex unstructured and structured data sets to conduct end-to-end analysis including data gathering.
Conducting design, algorithm, and code reviews.
Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us to build the best in breed cutting edge AI and ML products in aviation industry for our customers and for the world.
Division CIO, Information & Analytics
Relocation Assistance Available Yes. Available for eligible candidates, if authorized.
Qualifications
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Basic Qualifications (Required Skills/Experience)
Solid innovator who thinks out of the box and solve hard problems while navigating through ambiguity.
Background in developing customer-facing experiences, a strong technical acumen, excellent technical project management skills and stellar communication skills.
Strong team player and passion to execute Data Science projects with practicality in mind.
5+ years of relevant work experience in data analysis or related field. (e.g., statistician, data analyst, data scientist, computational biologist, physicist, bioinformatician).
5+ years of demonstrated leadership, self-direction, and willingness to coach others, learn new techniques and grow in field the of Data Science.
Up-to-date industry and academic knowledge, and experience in building AI and ML models and bring in to full production use.
Programming experience in one or more of the following: C, C++, Java, Python, Scala.
Experience in Text mining, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, Deep learning, etc…
Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, Theano, Weka etc.
Preferred Qualifications (Desired Skills/Experience):
Experience training machine learning models in a cloud computing environment such as: Amazon EC2, Google Cloud Platform, Microsoft Azure, etc.
Experience with statistical software (e.g., R, Octave, Julia, MATLAB, pandas) and database languages (e.g., SQL).
Experience and knowledge in DevOps for Data Science.
Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc.
Master’s or Ph.D. in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
Typical Education/Experience
Technical Bachelor’s degree and typically 5 or more years’ related work experience or a Master’s degree with typically 3 or more years’ of related work experience or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four-year degree or greater in a mathematic, scientific or information technology field of study.
Experience Level Individual Contributor
Job Type Standard
Travel Yes, 10 % of the Time
Contingent Upon Program Award No
Union No
Job Code BEH7P4
May 01, 2019
Full-time
The Boeing Company is looking for a talented results driven Senior Data Scientist with applied experience in the fields of Artificial Intelligence and Machine Learning to join our team in Bellevue, WA. The Senior Data Scientist will have the opportunity to lead a small team of highly talented data scientists building next generation enterprise products and services on the Boeing AnalytX platform.
As a Senior Data Scientist, you will have the chance to be part of building advanced predictive models and launch them into production, learn and apply modern machine learning techniques and see how AI and ML drives impact on Boeing. At Boeing, we are already making a difference across the industry using collective machine intelligence to deliver strong, rich and safer product experience to our commercial and government customers. We are expanding and growing in all areas in the frontier of aerospace industry. We are working on projects that utilize the latest techniques in Machine Learning (including Deep Learning, Neural network), Natural Language Processing and deep infrastructure. Paramount to success in this role is the ability to determine, define and deploy predictive/prescriptive analytic solutions to identify and perform root cause analysis on adverse trends, by choosing best fit methods, defining algorithms, and validating and deploying models to achieve results.
Position Responsibilities
Lead a small team of data scientists to build products and services to delight our partners and customers.
Analyze highly complex problems and deliver requirements specification, processing, analysis, deliverables and presentations.
Work with partners and product managers to identify opportunities for improvements
Own Data Science solution direction as well as the tactical execution to deliver results.
Address partner pain points by building and deploying AI/ML products and services.
Collaborate with customers and stakeholders to foster improvements, build culture, and best practices
Coach and mentor team members to deliver cutting edge AI/ML solutions.
Work with large and highly complex unstructured and structured data sets to conduct end-to-end analysis including data gathering.
Conducting design, algorithm, and code reviews.
Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us to build the best in breed cutting edge AI and ML products in aviation industry for our customers and for the world.
Division CIO, Information & Analytics
Relocation Assistance Available Yes. Available for eligible candidates, if authorized.
Qualifications
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.
Basic Qualifications (Required Skills/Experience)
Solid innovator who thinks out of the box and solve hard problems while navigating through ambiguity.
Background in developing customer-facing experiences, a strong technical acumen, excellent technical project management skills and stellar communication skills.
Strong team player and passion to execute Data Science projects with practicality in mind.
5+ years of relevant work experience in data analysis or related field. (e.g., statistician, data analyst, data scientist, computational biologist, physicist, bioinformatician).
5+ years of demonstrated leadership, self-direction, and willingness to coach others, learn new techniques and grow in field the of Data Science.
Up-to-date industry and academic knowledge, and experience in building AI and ML models and bring in to full production use.
Programming experience in one or more of the following: C, C++, Java, Python, Scala.
Experience in Text mining, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, Deep learning, etc…
Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, Theano, Weka etc.
Preferred Qualifications (Desired Skills/Experience):
Experience training machine learning models in a cloud computing environment such as: Amazon EC2, Google Cloud Platform, Microsoft Azure, etc.
Experience with statistical software (e.g., R, Octave, Julia, MATLAB, pandas) and database languages (e.g., SQL).
Experience and knowledge in DevOps for Data Science.
Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc.
Master’s or Ph.D. in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
Typical Education/Experience
Technical Bachelor’s degree and typically 5 or more years’ related work experience or a Master’s degree with typically 3 or more years’ of related work experience or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four-year degree or greater in a mathematic, scientific or information technology field of study.
Experience Level Individual Contributor
Job Type Standard
Travel Yes, 10 % of the Time
Contingent Upon Program Award No
Union No
Job Code BEH7P4
