We Are Hiring - Data Scientist
We 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.