Data Scientist

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.