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 Responsibilities
Translate business needs into effective analytical and data science solutions
Design and implement analytics and anomaly detection models following best practices
Build, maintain, and optimize data pipelines from diverse sources, including real-time sensor data
Develop and validate algorithms for anomaly detection, performance degradation, and data drift in time-series data
Participate in technical discussions, risk assessments, and solution design
Deliver solutions iteratively with continuous testing and performance improvement
Support deployment of models into production environments, ensuring scalability and reliability
Collaborate with cross-functional teams and communicate results clearly
Ensure adherence to data governance, quality standards, and documentation practices
Required Qualifications
Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related field
3+ years of experience in machine learning, time-series analytics, or applied data science
Strong Python programming skills for data analysis and modeling
Solid understanding of statistical methods, anomaly detection, and data quality monitoring
Experience working with complex or sensor-based data
Familiarity with software development practices, Git, and deployment workflows
Strong problem-solving skills and attention to detail
Ability to work independently and collaboratively with a high sense of ownership
Preferred Qualifications
Master's degree in a relevant quantitative field
Experience with advanced machine learning and time-series forecasting
Knowledge of data preprocessing, feature engineering, and external data integration
Familiarity with cloud platforms and MLOps practices
Experience with TensorFlow or PyTorch
Exposure 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.