Senior Data Scientist

About the role

**Overview**

We are seeking an experienced **Senior Data Scientist** with a strong background in non–deep learning machine learning approaches and the ability to apply deep learning to raw, non\-textual data. This role will focus on creating custom ML models tailored to the needs of customers, ensuring that the solutions are accurate, reliable, and production\-ready.

You will be responsible for the end\-to\-end lifecycle of customer\-focused data science projects—ranging from data analysis, model development, and evaluation to integration into production systems—while maintaining high standards of quality and performance.

**Key Responsibilities**

* Design, develop, and deploy machine learning models with a focus on non–deep learning approaches (e.g., tree\-based methods, ensemble models, probabilistic models, clustering, anomaly detection). * Apply deep learning techniques to raw, non\-textual data where applicable. * Conduct in\-depth data analysis, including outlier detection and creation of data quality metrics to ensure robust model performance. * Develop solutions for anomaly detection, data visualization/reporting, clustering, and classification tasks. * Perform feature engineering, data preprocessing, and exploratory analysis for large and complex datasets. * Collaborate with engineering teams to integrate models into production environments. * Write production\-grade, object\-oriented Python code, ensuring maintainability and scalability. * Communicate results and insights effectively to both technical and non\-technical stakeholders.

**Qualifications**

**Required:**

* 5\+ years of industrial experience in machine learning, with substantial expertise in non–deep learning approaches. * Proven track record of applying deep learning to raw, non\-textual datasets. * Strong background in data analysis, outlier detection, data quality metrics, anomaly detection, clustering, and classification. * Advanced proficiency in Python, including writing production\-grade, object\-oriented code (beyond Jupyter notebooks). * Solid understanding of statistics, model evaluation, and validation techniques. * Strong critical thinking and problem\-solving skills. * Excellent communication skills and ability to work in a dynamic, fast\-paced environment.

**Nice to Have:**

* Experience working with customer\-specific ML solutions. * Familiarity with the Azure cloud platform. * Experience in startup or small\-team environments.