We Are Hiring - Data ScientistWe are looking for a Data Scientist to join our team and contribute to the development of advanced, data-driven solutions supporting business and operational performance.This role requires a strong analytical mindset, hands-on experience with machine learning, and the ability to translate complex business requirements into scalable and reliable analytical models.
Key ResponsibilitiesTranslate business needs into effective analytical and data science solutionsDesign and implement analytics and anomaly detection models following best practicesBuild, maintain, and optimize data pipelines from diverse sources, including real-time sensor dataDevelop and validate algorithms for anomaly detection, performance degradation, and data drift in time-series dataParticipate in technical discussions, risk assessments, and solution designDeliver solutions iteratively with continuous testing and performance improvementSupport deployment of models into production environments, ensuring scalability and reliabilityCollaborate with cross-functional teams and communicate results clearlyEnsure adherence to data governance, quality standards, and documentation practices
Required QualificationsBachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related field3+ years of experience in machine learning, time-series analytics, or applied data scienceStrong Python programming skills for data analysis and modelingSolid understanding of statistical methods, anomaly detection, and data quality monitoringExperience working with complex or sensor-based dataFamiliarity with software development practices, Git, and deployment workflowsStrong problem-solving skills and attention to detailAbility to work independently and collaboratively with a high sense of ownership
Preferred QualificationsMaster's degree in a relevant quantitative fieldExperience with advanced machine learning and time-series forecastingKnowledge of data preprocessing, feature engineering, and external data integrationFamiliarity with cloud platforms and MLOps practicesExperience with TensorFlow or PyTorchExposure to industrial systems or operational analytics is a plus
We are seeking a candidate who is committed to delivering high-quality analytical solutions and thrives in a collaborative, technically driven environment.
Please apply or reach out for further information.