Data Science Leader for Digital Transformation

hace 3 semanas


Barcelona, Barcelona, España Dynatrace A tiempo completo

Company Overview: Dynatrace is a software intelligence company that simplifies cloud complexity and accelerates digital transformation. Our all-in-one platform delivers precise answers about application performance, infrastructure, and user experience.

Salary: $250,000 - $350,000 per year, depending on experience and qualifications.

Job Description:Data Science Leadership Role

Our Business Insights team at Dynatrace is seeking an experienced Lead Data Scientist to drive impactful data-driven decision-making across our products and operations. As a key member of our team, you will leverage your advanced expertise in machine learning and causal analysis to design and develop innovative solutions, uncovering meaningful insights from millions of rows of tabular data. This role requires someone with the ability to independently manage challenging projects and guide others through technical decision-making.

Key Responsibilities and Impact:

  • Design and implement causal analysis models to assess the impact of system performance on user experience.
  • Develop and deploy machine learning models and workflows, transforming terabytes of traffic data into actionable insights that drive key business decisions.
  • Lead the development and deployment of models, ensuring robustness, scalability, and reliability in production environments.


Requirements:
  • A degree in Engineering, Computer Science, Mathematics, or another quantitative field.
  • 10+ years of demonstrable experience in data/data science, including at least 3 years in a lead or senior IC role.
  • Expertise in causal analysis methods (e.g., propensity score matching, A/B testing, uplift modeling).


Becoming a part of our team means collaborating closely with product owners, engineers, and other stakeholders to translate analytical findings into impactful features and product improvements. You will take ownership of technical direction, contribute to architectural decisions, identify technical debt, and advocate for opportunities for improvement. Additionally, you will mentor and support junior data scientists, enhancing team productivity, improving code quality, and fostering a culture of collaboration and learning. Estimated salary range based on national averages in the United States, assuming a highly skilled professional with extensive industry experience.

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