17 jobs found

“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being part of Walt Disney Attractions Technology (WDAT) means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member, you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. As the Senior Manager in the Information Advantage (IA) organization, you will be working in latest big data, cloud and AI/ML technologies and responsible for leading the delivery and execution of multiple Data Analytics and Machine Learning projects across business functions. This role will oversee the end to end program delivery, technical success of the projects and develop a repeatable delivery framework across various initiatives. Responsibilities: Responsible for delivering large scale projects on time, budget and high quality. Leading large programs from ideation, solution, estimation, implementation and sustainment. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently Ability to facilitate business, technical and management discussion with large diverse groups and provide leadership support. Ability to develop integrated release planning for large programs across multiple teams and instill agile and development methodology processes. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently Responsible for executive and management reporting on status, accomplishments and on time escalation for issue resolution. Building and leading multiple development and delivery teams consisting of Product Managers, Data Engineers, Software Developers, Data Scientists and Project Managers. These teams will be a combination of cast members and contractors (onshore and offshore). Responsible for technical analysis, effort estimation, product and system design, evaluating architectural fit and compliance, resource schedules, delivery milestones, and overall product quality. Manage buget effectively working closely with finance controllership and able to build forecast and minimizing actual variance. Directly oversee, mentor, and develop the technical staff and supervise the technical delivery of these engineers. Build best practices used in day-to-day operations and working with business units to plan, design, and implement large-scale projects Manage a variety of diverse - and sometimes conflicting – requests, priorities, and activities. Candidates will need management and communication skills to interact with people at all levels across the Walt Disney Company. Develop and manage effective working relationships with other departments, groups and staff Enforce and grow a culture focused on quality Basic Qualifications: 15+ years of experience in technology especially in data management space including delivering atleast 5+ multi-million dollar data management delivery projects 5+ years of experience in delivering technology initiatives involving big data, cloud and data science capabilities. Experience and understanding of modern data technologies and patterns especially Hadoop, Python, Spark, cloud native data management process, NoSQL databases, docker containers, etc Experience working cloud platforms such as AWS, Google Cloud, Azure Experience with ML frameworks and understanding of algorithms (regression, classification, etc) is a big plus Ability to come up with solutions to loosely defined business problems by leveraging scalable architecture patterns Strong systems integration architecture skills and a high degree of technical expertise, ranging across a number of technologies with a proven track record of turning new Technologies into business solutions Capability to educate the organization both from technical and the business perspectives on new approaches that will drive adoption of the Data Management, Cloud and ML Framework Experience in leading discovery processes with stakeholders to identify the business requirements and the expected outcome Comfortable with both technical and business responsibilities, you will be working with engineers, data scientists and business masterminds to build products and solve complex problems Passionate about data, technology, and challenging the status quo Proven experience providing technical mentorship to team members Comfortable working in a team environment using agile methodologies Strong communication, interpersonal skills and fortitude to get stuff done Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research Experience in a large media or technology company and working with revenue management, digital, customer engagement initiatives is a big plus Success at delivering large scale technology delivery projects on-time and on-budget. A comfort level with complex, matrixed organizations containing a certain amount of ambiguity Preferred Qualifications: Master’s degree in computer science or related field/work experience  

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

Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. Responsibilities: Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Coach data engineers best practices and technical concepts of building large scale data platforms Basic Qualifications:  3-5 years of experience developing in object oriented Python Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases such as Redshift and Snowflake Building streaming data pipelines using Kafka, Spark, or Flink Preferred Qualifications: Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience building and deploying ML pipelines: training models, feature development, regression testing Experience with graph-based data workflows using Apache Airflow Required Education: Bachelor’s degree in Computer Science or related field or equivalent work experience

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  

As an IA/BigData Developer: you will create custom batch-oriented and real-time streaming data pipelines working within the Hadoop ecosystem, creating new data workloads/applications and also migrating applications from On-Premise Ecosystem to Cloud Data lakes. Implement, troubleshoots, and optimizes distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Kafka , etc. to solve large scale processing problems in a Cloud cluster enviornment. Ensure proper data governance policies are followed by implementing defining project specific quality checks, classification, etc. Apply technical expertise to challenging programming and design problems. Strong communication, interpersonal and teaming skills, including the ability to work effectively in agile / scrum environment. Demonstrated interest and ability to quickly learn new technologies. Responsibilities: Proficient understanding of distributed computing principles Experience developing Data storage processing and streaming flows using technologies like Spark, HDFS, Yarn and Hadoop Experience with various messaging systems, such as Kafka or RabbitMQ Good knowledge of Big Data querying tools, such as Pig or Hive Good understanding of Lambda Architecture, along with its advantages and drawbacks Experience with integration of data from multiple data sources Ability to solve any ongoing issues with operating the cluster Experience with scripting languages and automation of processes Proven track record of development accomplishments in highly collaborative environment Translate complex functional and technical requirements into detailed design Be passionate about solving customer problems and develop solutions that result in a passionate customer/community following Basic Qualifications: Experience working with Cloud as infrastructure (AWS/Azure) or other Cloud Platform based on IaaS and PaaS Solutions 2+ years’ hands-on Experience with various messaging systems, such as Kafka, Spark data manipulation, pipeline creation. 2-5 years software development experience in JAVA, Javascript, SQL NoSQL DB (Dynamo DB/Mongo DB knowledge is helpful) Strong understanding and experience with Apache technologies like Hadoop, KAFKA, Spark, Kerberos. Experience with Artificial Intelligence and Machine Learning is a plus Experience using with Code Management/CICD tools like GITHub, Jenkins is useful Prior experience with automation is helpful Prior experience working in a Linux/Unix enviornment is helpful Prior experience working in an enterprise technology environment is helpful

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 successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity. We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to:  influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers. As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally. The Expertise We’re Looking For Bachelor’s degree in Computer Science or similar discipline. 5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB) Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements Document data inventory and data flow diagrams to determine what can be measured, when and how Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets) The Purpose of Your Role Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems; Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications. Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.  The Skills You Bring Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills Your Big Data Skills with popular stacks like Hadoop and Spark Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform Your expertise in all phases of data modeling, from conceptualization to database optimization. Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals Your desire and aptitude for learning new technologies Your excellent verbal and written communication skills The Value You Deliver Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation Create data monitoring models for each product and work with our marketing team to create models ahead of new releases Ability to build data models supporting complex transformation Identifying and ingesting new data sources and performing feature engineering for integration into models How Your Work Impacts the Organization Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation. Company Overview At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. Fidelity Investments is an equal opportunity employer.

At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you! Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations. We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment. Primary Job Responsibilities The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience. You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors. Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones. Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs. Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes. Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers. Required Skills and Experience Bachelor’s degree in a quantitative field, MS/PHD preferred Entry to mid level role. Experience in SQL, relational databases Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus Expertise in machine learning packages Python, R,SAS Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.) Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.

Adobe is an industry leader in customer intelligence.  We have solutions to empower our enterprises to understand their customers as people – what they want, need, and believe, and to leverage insights to help business to deliver the most delightful customer experiences. Our engineering team is responsible for the Adobe compute on Data Platform which is the foundation for the Adobe Experience Cloud.  Adobe has dozens of petabytes of data to manage and bring value to our customers.  The query engine on Data Platform provides state-of-the-art capabilities for data query,  advanced analytics (segmentation, sessionization, customer journey, stitching and others) and integrated into machine learning services.  We use Big Data and open source technologies to develop various services for Adobe Solutions, Customers and Partners. The scalable Query engine is a key component of the Adobe Data Platform.  We are building a next generation of Query Services that can scale at the petabyte level.  We are looking for strong candidates with expertise in both SQL and no-SQL databases as well as commercial or open source SQL query engines. What you need to succeed: 3+ years as a Lead/Chief Architect working on enterprise software on a distributed platform. Recognized Subject-Matter Expert in database / big data engineering. Plus to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Drill, Atlas, Impala In depth experience with No-SQL as well as RDBMS Proficiency in data structures and algorithms Cost consciousness around computation and memory requirements Track record of extraordinary achievements in the industry of big data & cloud computing Strong verbal and written communication skills PhD/MS in Computer Science Strong management and leadership skills Proficiency in developing very large distributed systems with low-latency streaming. What you’ll do Lead the technical design, vision and implementation strategy for major systems & components of the Adobe Experience Cloud data platform mainly driving the Query Service vision. Build and own critical parts of the services and deliver to production Ability to articulate the design and code choices to cross functional teams Ability to mentor and guide a high performing team Reviewing and providing feedback on features, technology, architecture, designs, and test strategies Managing projects, mitigating risks & creative problem solving Developing and evolving engineering to optimize team efficiency Partner with other teams across Adobe for achieving common goals 3-5 year as a lead/Chief Architect on distributed platform At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.

Overview Come join our Central Data Organization as Enterprise Data Architect! You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax! Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life. Responsibilities Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”. Explore new technology shifts in order to determine Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance. Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems. Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements Drives architectural advancements in data pipelines Qualifications At least 10+ years of overall experience BS/MS in Computer Science or related area Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’) Strong knowledge of data governance and privacy by design Excellent communication skills with examples of influencing across organizations Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications. Experience with building solutions to improve Developer Productivity and data-driven decisions Understand machine learning principles (training, validation, etc.) Team/Leadership Qualifications: Team player possessing strong analytical, problem solving and communication skills Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people Demonstrated ability to work with global teams across time zones Ability to work effectively in a fast paced, complex technical environment High adaptability and flexibility Experience driving for results across cross-functional teams while maintaining effective working relationships Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives) "Self-starter" attitude and the ability to make decisions independently Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide. Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit. Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Overview Come join Intuit as a Principal Machine Learning Engineer! Responsibilities In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.  You can expect to... Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”. Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Qualifications BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience. Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). Understand machine learning principles (training, validation, etc.) Knowledge of data query and data processing tools (i.e. SQL) Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. Mathematics fundamentals: linear algebra, calculus, probability Preferred Additional Qualifications: Interest in reading academic papers and trying to implement state-of-the-art experimental systems Experience using deep learning architectures Experience deploying highly scalable software supporting millions or more users Experience with GPU acceleration (i.e. CUDA and cuDNN) Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP) Experience with NLP and NLU Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide. Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit. Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Overview The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business. If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team! Responsibilities This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products. Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow) Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process Design, implement, and monitor testing to explore new methodologies for our credit strategies Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc. Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones) Have strong sense and direct experience on processing big data systematically and QA work on the final output Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections Excellent communication skills and ability to learn fast Confidence in taking ownership and passion in driving changes in a fast-paced working environment Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide. Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit. Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform. You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform. This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further. Responsibilities Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements Own and document foundational company metrics with a clear definition and data lineage Identify, document and promote best practices Requirements BS degree in Computer Science or Engineering discipline. 5+ years work experience showing growth as a Data Engineer. Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments Deep understanding of relational as well as NoSQL data stores, methods and approaches  (logging, columnar, star and snowflake, dimensional modeling) Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go) Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment. Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc. Capable of planning and executing on both short-term and long-term goals individually and with the team. Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc. Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark) Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners Excellent understanding of trade-offs Demonstrated ability to navigate between big-picture and implementation details Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected. Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver. Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Come do the best work of your life here at Slack.

We are looking for a forwarding thinking Hadoop Systems Administrator to join our team in Bellevue, Washington.  As a Hadoop Administrator, you will provide systems management and infrastructure support for Hadoop analytics systems which include various open source analytics software on Linux based servers. Review and analyze Hadoop analytics tools for appropriateness, robustness, and available support in a leading-edge hardware & software infrastructure delivery environment. Responsibilities Include: Provide Hadoop systems infrastructure support Provide general systems management and maintenance of software Provide computing system software troubleshooting and problem resolution Provide system monitoring capabilities using approved tools and processes to validate system health Perform root cause analysis Coordinate with peers, end users, focals, program/product managers, and vendors as needed Maintain and improve delivery systems availability, functionality, and performance Develop and maintain procedures used for computing system management 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, and you can build something better for yourself, for our customers and for the world. Division CIO, Information & Analytics Relocation Assistance Available No. Relocation assistance is not a negotiable benefit. Qualifications 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' 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. Required 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. Minimum of 1 year work experience with Hadoop systems Minimum of 3 years work experience with Linux Minimum of 5 years experience in the IT industry Experience with Linux operating system Experience with the Hadoop distributed file system (HDFS) and the analytics applications that use it Preferred Qualifications: An understanding of the function and purpose of the Hortonworks Hadoop components. Experience with the Hadoop distributed file system (HDFS) and the analytics applications that use it. Database: Hive, LLAP, Druid. Machine Learning: Zeppelin, Spark, Tensor Flow. Stream Processing: Kafka, Storm, NiFi. Operational Data Store: Phoenix, HBase. Security: Knox, Atlas, Ranger, Kerberos. Workload Management: Yarn, Ambari. Developer tools: Python, Java, Bash. Experience with Linux clustering best practices. Networking knowledge such as: TCP/IP, Active Directory, SSO, Multi-homing. Ability to provide technical solutions to complex problems that require ingenuity and creativity. Good interpersonal, communication, and customer relations skills, reputation as a ‘team player. Ability to work independently, one on one, or in a group setting. Experience in a large and diverse production environment. Positive ‘can-do’ attitude and ability to work in a fast-paced, demanding environment. Knowledge of parallel database systems, a bonus. Experience with both physical & virtual systems a bonus Experience Level Individual Contributor Job Type Standard Travel Yes, 10 % of the Time Contingent Upon Program Award No Union No Job Code BAUGP3

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