Data Engineer - Machine Learning (all genders)

HRS AS A COMPANY

HRS, a pioneer in business travel, aims to elevate every stay through innovative technology. With over 50 years of experience, their digital platform, driven by ProcureTech, TravelTech, and FinTech, transforms how companies and travelers Stay, Work, and Pay.

ProcureTech digitally revolutionizes lodging procurement, connecting corporations and suppliers in a cutting-edge ecosystem. This enables seamless efficiency and automation, surpassing travelers' expectations.

TravelTech redefines the online lodging experience, offering personalized content from selection to check-in, ensuring an unparalleled journey for corporate travelers.

In FinTech, HRS introduces advancements like mobile banking and digital payments, turning corporate back offices into touchless lodging enablers, eliminating legacy cost barriers. The innovative 2-click book-to-pay feature streamlines interactions for travelers and hoteliers.

Combining these technology propositions, HRS unlocks exponential catalyst effects. Their data-driven focus delivers value-added services and high-return network effects, creating substantial customer value.

HRS's exponential growth since 1972 serves over 35% of the global Fortune 500 and leading hotel chains.

Join HRS to shape the future of business travel, empowered by a culture of growth and setting new industry standards worldwide.

BUSINESS UNIT

 The HRS Data & Analytics Platform is one of the key enablers of HRS GROUP’s tech- and data driven business travel solutions. State of the art services and solutions like strategic consulting & hotel procurement, travel payment and expense solutions or efficient tools to manage corporate meetings and group booking facilitate the travel processes and guarantee savings along the value chain.

Around 50 Data Specialists (Analysts, Scientists and Engineers) work together in our Data Community to create analytics solutions that serve our corporate customers, hotel partners, internal stakeholders, and millions of business travelers worldwide.

HRS Data & Analytics leverage a rich data landscape (spend data, booking data, rate data, web analytics data, etc.) turning raw data into actionable insights to provide (semi-) automated decision support to customers and business stakeholders with advanced analytical solutions. We bring state-of-the-art algorithms in production, to enhance Search & Booking experience (with personalized recommendations) or optimize the corporate hotel portfolio to the objectives of customers and the needs of the travelers.

POSITION

#LI-RS1

We are looking for an exceptionally talented Data Engineer - Machine Learning (all genders) to join our team in Mohali, India and be part of our larger TravelTech value proposition to our Business Travel Customers. This opportunity brings the ideal candidate as close as possible to your stakeholders (analytics consumers), and HRS customers, allowing you to have maximum impact and influence, as you build data products, fueled with intelligence, that transform how businesses STAY, WORK, and PAY

CHALLENGE

• Build data products for our TravelTech customer value proposition together with software engineers, data engineers, and product managers that unlock exponential value for our customers and travelers.
• Act as a change agent in the transition towards a data-driven organization
• Present actionable insights using strong data visualization and communication to support the strategic direction of data-governance plan
• Responsible for extracting meaningful insights from data, creating light data pipelines when needed, and delivering results through one-off analyses, operational dashboards and reports, or product-ready machine learning workloads
• Build and maintain value-adding analytic outputs (dashboards, reports, ML models) to continuously support our customer value delivery in our TravelTech customer value proposition.
• Translate business questions and concerns into specific analytical questions that can be answered with available data using statistical methods, machine learning and/or bleeding-edge AI techniques.
• Apply state-of-the-art statistical, machine learning, deep learning and transformer-based architecture methods to solve specific business problems and data.

FOR THIS EXCITING MISSION YOU ARE EQUIPPED WITH...

• 4+ years of work experience in Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative
• Bachelor or Master's degree in STEM with experience as a data scientist in delivering end-to-end data science projects with measurable business impact.
• Excellent experience with SQL and advanced knowledge of Python (PySpark and SparkSQL is preferred)
• Experience with AWS technologies like EC2, AWS Glue, Athena, S3, SageMaker, etc.
• Advanced knowledge of Data Visualization tools like MicroStrategy, PowerBI, etc.
• Experience in advanced analytics projects involving cross-functional teams.
• Hands-on experience with various machine learning techniques to address business problems, and key parameters that affect their performance.
• Experience processing, filtering, and presenting large amounts (Millions to Billions of rows) of data
• Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
• Demonstrable record of accomplishment of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to data scientists, engineering teams and business audiences
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Fluent in English is a MUST

PERSPECTIVE

Access to a global network of a globally united and mutually responsible “Tribe of Intrapreneurs” that is passionately dedicated to renew the travel industry and while doing so reinvent the ways how businesses stay, work and pay.

Our entrepreneurial driven environment of full ownership and execution focus offers you the playground to contribute to a greater mission, while growing personally and professionally throughout this unique journey. You will continuously learn from a radical culture of retrospectives and continuous improvement and actively contribute to making business life better, smarter and more sustainable.

LOCATION, MOBILITY, INCENTIVE

The attractive remuneration is in line with the market and, in addition to a fixed monthly salary, all necessary work equipment and mobility, will also include an annual or multi-year bonus.