***This position can be located at our corporate office in Dallas, TX or McLean, VA*** 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 and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance. What will I be doing? As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners. Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives. More specifically, you will: Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments. Conduct analysis and highlight significant patterns to increase customer and owner satisfaction. Actively draw insights from data to create new sources of value. Communicate results and ideas to business and technical teams. Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing. Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake. Partner with the Product Teams to understand needs and incorporate findings. 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: Exceptional problem solving, analytical, quantitative, and statistical skills. Experience in handling multiple contending priorities simultaneously. Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive. 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 hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++ It would be advantageous in this position for you to demonstrate the following capabilities and distinctions: MA/MS Master's Degree Four (4) years of professional experience Experience in IoT analytics model development involving sensors and connected devices Experience in model development involving distributed big data sets (Spark, Scala, Hadoop) Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift) 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

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.