Sr Data Science Engineer

What You Will Do

• Build and refine propensity models to support targeted sales motions, leveraging advanced machine learning techniques
• Architect a scalable model development and deployment framework that strengthens team effectiveness and mitigates business continuity risk
• Develop and own customer headroom models that accurately size opportunities across the book of business for specific offerings and customer segments
• Design a comprehensive account prioritisation model to sharpen account targeting and underpin the account segmentation process
• Implement a scalable measurement and optimisation framework for sales motions, enhancing predictive capability and driving revenue growth
• Conduct rigorous business analysis to surface the root causes of performance gaps and deliver clear, evidence-based recommendations
• Partner with senior stakeholders to understand strategic growth priorities and ensure all analytical solutions are aligned with business objectives
• Develop a broad suite of models including customer segmentation via clustering, customer lifetime value modelling using survival analysis, and time-series forecasting
• Deliver channel segmentation analysis to inform customer engagement strategy and maximise lifetime value
• Collaborate with data engineering teams to productionise data pipelines and ensure analytical solutions scale effectively across the organisation

What You Will Bring

• 5+ years of hands-on experience with SQL for querying, cleansing, integrating, and summarising complex datasets (essential)
• 5+ years of hands-on experience with Python for data manipulation, pipeline automation, and statistical modelling (essential)
• Proven track record of building, testing, evaluating, and iterating on revenue-generating predictive models (essential)
• Deep expertise in core modelling techniques including XGBoost, logistic regression, random forest, and decision trees (essential)
• Demonstrated ability to translate complex analytical outputs into clear, compelling insights for senior, non-technical audiences (essential)
• Strong problem-solving capability and a proven ability to thrive in fast-paced environments where requirements evolve rapidly (essential)
• Experience with Databricks (highly desirable)

Familiarity with additional modelling techniques such as k-means clustering, Kaplan-Meier survival analysis, and ARIMA (highly desirable)

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

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Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.