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Data Scientist Sr at Metova. 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. Bachelor's degree in Systems Engineering, Mathematics, Statistics, Computer Science, or related field (Master's/Doctorate desirable).. Experience. . 6–12 years of experience in data science, with at least 3 years leading projects in production.. . Solid experience in supervised learning, A/B testing, anomaly detection, and pattern recognition.. . Experience putting ML/DL models with millions of records or transactions into production.. . Technical. . Languages: Python (required), R, and SQL (advanced). . Experience with ML pipelines, MLOps, and cloud deployment (AWS, GCP, or Azure).. . Knowledge of ML/DL frameworks (scikit-learn, TensorFlow, PyTorch).. . Experience with anomaly detection (Isolation Forest, LOF, autoencoders, Prophet, ARIMA, robust statistics).. . Experience in pattern recognition and predictive modeling (clustering, time series, sequences, recurrent neural networks).. . SQL and NoSQL databases; experience with vector databases (Pinecone, pgvector, Milvus). . . Strong data visualization skills (Matplotlib, Seaborn, Plotly, Power BI, Tableau). . . Experience with model testing and cross-validation.. . Plus / Desirable (Nice to Have). . Knowledge of tax, accounting, ERPs, or the financial sector (banks, fintechs, insurance companies).. . Experience in NLP and LLMs for information extraction and document classification.. . Experience in transaction fraud detection, credit risk monitoring, or tax irregularities.. . Familiarity with big data environments (Spark, Databricks, Hadoop).. . Knowledge of programming languages such as Java, Scala, C++.. . Publications, presentations, or participation in data science communities.. . Company Location: Mexico.