At a Glance
- Tasks: Deliver advanced analytics and decision science solutions to drive commercial success.
- Company: Join a forward-thinking company focused on strategic partnerships and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make an impact with data-driven insights and shape the future of partnerships.
- Qualifications: 3-5 years in data science; strong skills in SQL, Python or R, and statistical analysis.
The predicted salary is between 55000 - 70000 £ per year.
The Data Scientist III is a senior individual contributor responsible for delivering advanced analytics, experimentation, and decision science solutions in support of SPA’s commercial objectives. This role focuses on advanced reporting and dashboarding, statistical analysis and experimentation, partner and client performance analysis, leadership decision support, and decision science tooling. It is expected to work independently on complex, well-defined problems and influence decisions through high-quality insights.
Responsibilities
- Advanced Reporting & Analytics: Design, develop, and maintain advanced dashboards and performance reporting used by commercial, finance, and leadership stakeholders. Ensure outputs are accurate, scalable, and aligned with KPIs. Proactively identify improvements in reporting structure, clarity, and usability.
- Experimentation & Statistical Testing: Design and analyze commercial experiments, including A/B tests, incrementality tests, and quasi-experimental analyses. Apply appropriate statistical methods and clearly document methodology, results, and implications.
- Commercial & Partner Performance Analysis: Perform in-depth analyses of partner and client performance to identify drivers of growth and risks. Surface trends and actionable insights for leadership; collaborate with commercial and finance partners to interpret results.
- Decision Support & Investment Analytics: Deliver analytical insights for prioritization and investment decisions. Build scenario analyses, forecasts, and decision frameworks; support leadership discussions with data-driven recommendations.
- Decision Science Tooling & Automation: Build and maintain tools, models, and reusable analytical assets. Contribute to AI-powered workflows and automations; identify repeatable processes to standardize or automate.
Qualifications
- Experience: Typically 3–5+ years in data science, analytics, or related quantitative role. Bachelor’s degree in a quantitative field; Master’s degree a plus. Ecommerce/marketing/partner analytics experience preferred.
- Technical & Analytical Skills: Advanced SQL on large multi-source datasets; strong statistics, experimentation, causal analysis; proficiency in Python or R; experience with data engineering, visualization, and dashboarding tools (e.g., Databricks, Tableau, Power BI).
- Business & Communication Skills: Ability to translate analysis into commercial insights; communicate clearly to non-technical audiences; engage with senior stakeholders using data-driven narratives; willingness to adopt new tools and automate to speed insights.
Data Scientist III – Strategic Partnerships & Affiliates employer: 11310 Expedia.com Ltd.
As a leading employer in the data science field, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a culture that values diverse perspectives, making it an ideal place for professionals looking to make a meaningful impact in strategic partnerships and analytics. Located in a vibrant area, our team enjoys not only competitive benefits but also a supportive atmosphere that encourages creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist III – Strategic Partnerships & Affiliates
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, experiments, and dashboards. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science questions. Be ready to discuss your past projects and how you've used analytics to drive decisions—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with our goals in strategic partnerships and analytics.
We think you need these skills to ace Data Scientist III – Strategic Partnerships & Affiliates
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science and analytics. Use keywords from the job description to show we’re a match made in heaven!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you’ve used SQL, Python, or R in past projects. We love seeing real-world applications.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re excited about the role and how your background aligns with our needs. Keep it engaging and personal.
Apply Through Our Website:We recommend applying directly through our website for the best chance of getting noticed. It’s quick and easy, plus you’ll be one step closer to joining our awesome team!
How to prepare for a job interview at 11310 Expedia.com Ltd.
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like SQL, Python, and data visualisation platforms. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Prepare for Technical Questions
Expect to face questions about statistical methods and experimentation techniques. Be prepared to explain your approach to A/B testing or causal analysis, and have examples ready that showcase your analytical thinking.
✨Showcase Your Communication Skills
Since this role involves translating complex data into insights for non-technical stakeholders, practice explaining your past analyses in simple terms. Think of a few key projects where you successfully communicated findings to leadership.
✨Demonstrate Problem-Solving Ability
Be ready to tackle hypothetical scenarios or case studies during the interview. Show how you approach complex problems, from identifying the right metrics to suggesting actionable insights based on your analysis.
