*This position is from the job board Talenteca.com* ### **Job opening for company Necodex in Hermosillo, Sonora** **Role Summary** We are seeking a Senior Data Scientist (independent contractor) to lead the design, development, and deployment of data science solutions focused on large-scale data analysis. This role requires proven experience in bringing machine learning and deep learning models into production using massive datasets, applying A/B testing, supervised learning, anomaly detection, and pattern recognition practices. The ideal candidate must be hands-on, with strong background in statistics, algorithms, and programming, capable of translating business problems (especially in accounting, financial, and tax domains) into scalable, secure, and high-impact solutions. **Main Responsibilities** * Design, train, validate, and deploy machine learning and deep learning models in production environments with large-scale data. * Implement advanced anomaly detection and pattern recognition techniques to identify irregularities, fraud, operational risks, or atypical behaviors in data. * Conduct 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 requirements into data science use cases. * Ensure data quality through cleaning, validation, orchestration, and pipeline monitoring processes. * Develop and maintain technical documentation, metric dashboards, and model performance reports. * Propose new solutions based on predictive modeling, advanced analytics, and generative AI techniques that deliver strategic value. **Education** Bachelor's degree in Computer Systems Engineering, Mathematics, Statistics, Computer Science, or related field (Master’s/Ph.D. desirable). **Experience** * 6–12 years of experience in data science, with at least 3 years leading production projects. * Solid experience in supervised learning, A/B testing, anomaly detection, and pattern recognition. * Proven track record of deploying ML/DL models handling millions of records or transactions. **Technical Skills** * 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 in 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 skills in data visualization (Matplotlib, Seaborn, Plotly, Power BI, Tableau). * Experience in model testing and cross-validation. **Plus / Desirable (Nice to Have)** * Knowledge of tax, accounting, ERPs, or financial sector (banks, fintechs, insurance companies). * Experience in NLP and LLMs for information extraction and document classification. * Experience in fraud detection in transactions, 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. **Desired education level:** Higher education — graduated **Desired experience level:** Expert level **Departmental function:** Technology / Internet **Industry:** Software Development / Programming **Skills:** * Python * R * SQL * MLOps * AWS *This position is from the job board Talenteca.com:* *https://www.talenteca.com/anuncio?j_id=68d590225e000031008bba7c&source=indeed*