Job Description

Senior Machine Learning Scientist A high performing and influential individual contributor who consistently applies and regularly enhances the analytics capabilities, principles and playbooks to tackle the most complex business challenges and opportunities. Provides deep analytical support and expertise to a number of areas and mentors more junior colleagues. Interfaces regularly with executive (VP+) leadership. What you\'ll do: Has significant experience in at least one major machine learning programming language (Python, Scala, etc.) and familiar with others Applies knowledge of software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, maintainable, optimized and modular with good naming conventions Configures, maintains and optimizes storage and processing environments (cloud, prem, cluster management, etc.) Writes code in a way that enables efficient and accurate translation into a data pipeline Demonstrates good understanding of supervised and unsupervised machine learning theory Has some experience (2-4 years) in industrial application of machine learning Applies fundamental machine learning models, algorithms and techniques using standard libraries to tackle business problems with some guidance Performs basic level of modification/adaptation to models and techniques to suit business needs Iteratively identifies strong features with some mentorship Spends a large amount of time and effort to improve model generalization and robustness Performs proper model performance evaluation without help Possesses solid theoretical foundation and applies advanced statistical methods to a broad range of problems Has experience with advanced methods such as Stochastic Processes, Bayesian Neural Networks, Markov Models, Discriminant and Factor Analysis Applies them while considering underlying assumptions and limitations Demonstrates advanced experimental design (e.g. adaptive designs) Reads relevant publications in the field and implements the methods described to business problems Mentors junior profiles in technical skills Builds end-to-end design of models based on detailed understanding of business requirements, including general approach, choice of algorithm and data sources Reflects a deep understanding of business requirements in model output Adheres to standard methodologies, academic research and experience Possesses advanced knowledge of complex model design, incorporating the latest academic and published research including Neural Network, Transformers and Reinforcement Learning Domains Displays advanced domain (i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives) and critical reasoning skills Picks valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e. not just order-taking) Uses advanced and sophisticated understanding of the business problem space to inform the design of the solution Demonstrates a critical understanding of business processes and challenges to recommend and develop solutions to meet unique business needs and achieve objectives Knows and applies data visualization principles consistently resulting in clear and consistent outcomes Builds complex charts without supervision Consistently uses color palettes effectively and is aware of double encoding and end user fatigue Creates clear and consistent visualizations with expert use of typography Is experienced with UX and UI concepts, such as padding, framing, chart placement, white space balance and hierarchy of elements Knows industry standard and EG visualization tooling well, and is able to create complex calculations using advanced features Embeds visualizations from tools utilizing basic techniques (i.e.iframes) Is familiar with HTML/CSS/JavaScript for custom visualization applications beyond the limits of visualization tools Coaches others and provides constructive feedback Possesses strong knowledge and experience in new and developed charting packages and libraries (e.g. ggplot, plotly) Exhibits storytelling and persuasive influencing techniques that builds trust with team and partners and establishes long-term relationships Proactively contributes to cross team collaboration and leads alignment of work with broader initiatives, tailoring messaging to audience and filters relevant communication Guides functional peers and partners on how to use standard frameworks and methodologies Contributes to events (e.g. workshops) to help others develop functional knowledge and acumen, both within and across teams Creatively develops tools, visual aids and other original content to support the understanding/education of sophisticated and technical information (e.g. legal, operational risk, and regulatory data) Influences action and results, through clear writing, in an accessible way for a wide audience Structures presentations around a clear narrative, and is concise in what\'s included Presents clearly and engagingly and anticipates questions Has extensive experience of big data architecture (streaming events, data lakes, analytics engines) and relational database models as it relates to analytics Applies advanced querying capabilities such as creating Views and Tables (+Indexes and Permissions), creating Store Procedures (+ Flow Control), SQL Ranking (RANK() OVER ... PARTITION BY...), Cursors & Temp Tables Acts as a spokesperson for software design best practices for analytical engineering Builds production grade data pipelines, which can support business critical applications Demonstrates rates capability of framing Expedia\'s most complex business problems as an analytics problem and concrete set of analytical tasks Leverages others skills, knowledge and expertise effectively in problem solving and delivering impact Displays advanced domain (i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives), curiosity and critical reasoning skills Picks analytically valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e. not just order-taking) Uses advanced and sophisticated understanding of the business problem space to inform the design of the solution Manages stakeholders with frequent communication, expectation management, meeting deadlines and minimizing surprises Manages backlog well, including across large cross-functional teams Delivers projects to maximize business impact and in-sync with wider timing of the business Focuses on the 80:20 Is creative and persistent in the face of roadblocks Influences action and results through clear writing, in an accessible way for a wide audience Structures presentations around a clear narrative, and is concise in what\'s included Presents clearly and engagingly and anticipates questions Builds complex business models for prioritization and action decision making Handles many moving parts, requiring lots of iterations, in-depth sensitivity analysis, multiple layers of effects, and hypothesis with different types of effects (instant, delayed, over a period of time, etc.) Automates repeated measurement and reporting tasks and builds scalable dashboards to cover multiple scenarios (geo, web and apps, etc.) Trains and empowers business, product and tech stakeholders to pull data from automated dashboards or via scheduled reports Empowers data democracy by ensuring robust training programs are in place for stakeholders on full utilization of analytics tools and solutions Who you are : Worked on insights and decision making on at least 2 multi-quarter projects with significant strategic and financial impact for the organization And/or built and maintained multiple data science project/product in production environments Contributed to analytics and data science community through a blog post, open source contribution, tech talks, etc Bachelor\'s, Master\'s, PhD in Mathematics, Scientific, Statistics or Technical degree preferred or related field or equivalent related professional experience Critical thinking, Problem solving, Communication and influencing, Listening Visualization of data for impact Programming for data and analytics Business acumen & Machine learning

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