Data Scientist Sr

We are looking for a Senior Data Scientist to lead the design, development, and deployment of data science solutions geared toward large-scale information analysis. The role requires proven experience bringing machine learning and deep learning models to production with massive data, applying A / B testing, supervised learning, anomaly detection, and pattern recognition practices.

The ideal candidate should be hands-on, with a solid background in statistics, algorithms, and programming, and capable of translating business problems (especially in the accounting, financial, and tax domains) into scalable, secure, and high-impact solutions.

Responsibilities

• Design, train, validate, and deploy machine learning and deep learning models in production environments with big data
• Implement advanced anomaly detection and pattern recognition techniques to identify irregularities, fraud, operational risks, or atypical behavior in the data
• Execute A / B testing and statistical experimentation to validate hypotheses, measure impact, and optimize information analysis products
• Collaborate with cross-functional teams (product, engineering, business, tax / accounting) to translate needs into data science use cases
• Ensure data quality through pipeline cleaning, validation, orchestration, and monitoring processes
• Develop and maintain technical documentation, metrics dashboards, and model performance reports
• Propose new solutions based on predictive models, advanced analytics, and generative AI techniques that add strategic value

Profile Requirements

Academic

Experience

Technical

Plus / Desirable (Nice to Have)

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