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Manager, Data Science

vor 4 Wochen

Geneve, Schweiz Expedia Group Vollzeit

**Manager, Data Science - Analytics**
A people leader who provides immediate direction to a small team of junior advanced analysts. Delivers work for several well-defined projects at once with clear oversight from more senior management and partners with product, development, and data science counterparts.

**Role Expectations**
- Extract data from multiple data sources and combine them into the required datasets for model building or analytics.
- Demonstrates good understanding of supervised and unsupervised machine learning theory and applies fundamental machine learning models, algorithms and techniques using standard libraries to tackle business problems with some guidance.
- Perform proper model performance evaluation.
- Determine the ideal method for the problem considering underlying assumptions.
- Applies common methods such as linear and non-linear regression, multivariate analysis, etc.
- Communicate across various levels of the organization; able to influence partners and senior leaders with audience-appropriate messages and relevant information.
- Proactively contribute to cross-team collaboration and leads alignment of work with broader initiatives.
- Act as a spokesperson for software design best practices for analytical engineering.
- Manage 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 the wider timing of the business. Focuses on the 80:20. Is creative and persistent in the face of roadblocks.
- Build complex business models for prioritization and action decision-making. Handling 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, etc.).
- Automate repeated measurement and reporting tasks and build 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.
- Influence 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.

**People Leader Responsibilities**
- Act as a supporting people leader by managing workloads to ensure all team members are fully deployed and skills are matched to work requirements and provide constructive feedback to encourage ongoing development.
- Hires and onboard new team members.
- Clarifies roles, accountabilities, and decision-making among team members.
- Works with staff to develop individual development plans addressing employee needs and meeting team goals.
- Evaluates performance regularly, identifying learning needs.
- Communicates team goals, progress, and outputs within and across teams.
- Meaningfully contributes to the team culture spreading passion and fostering goodwill towards the department.
- Leverages others’ skills, knowledge, and expertise effectively in problem-solving and delivering impact.

**Experience**
- ** Education**: 5+ years for Bachelor's OR 3+ years for Master's OR 2+ years for PhD
- People Leader: Participated in peer performance reviews by providing technical and functional assessment and feedback.
- Previous experience in leading the analytics at 3 multi-quarter projects (someone seen as analytics lead individual contributor)
- ** Function Skills**: Critical thinking, Problem-solving, Communication, Collaboration and Influencing
- Experience in model design and can explain selection, including general approach, choice of algorithm and data sources.
- Experience of big data architecture (streaming events, data lakes, analytics engines) and relational database models as it relates to analytics.
- Understanding of the business domain and the recommended model changes constantly evolving information and requirements.
- Understanding of functional technical information (e.g. user flows, technical system design and workflows).

**About Expedia Group**

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Expedia iscommittedto creating an inclusive workenvironmentwith a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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