Data Engineer

• Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization).
• Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges.
• Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact.
• Analyze large, complex datasets to extract key insights and translate them into strategic recommendations.
• Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization.
• Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions.
• Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications.
• Mentor junior data scientists, supporting technical development and scientific rigor.
• Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact.

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