Data Science Engineer

Jidoka Technologies is looking for Data Science Engineer to join our dynamic team and embark on a rewarding career journey

• Data Exploration and Preparation: Explore and analyze large datasets to understand patterns and trends
• Prepare and clean datasets for analysis and model development
• Feature Engineering: Engineer features from raw data to enhance the performance of machine learning models
• Collaborate with data scientists to identify relevant features for model training
• Model Development: Design and implement machine learning models to solve business problems
• Work on both traditional statistical models and modern machine learning algorithms
• Scalable Data Pipelines: Develop scalable and efficient data pipelines for processing and transforming data
• Utilize technologies like Apache Spark for large-scale data processing
• Model Deployment: Deploy machine learning models into production environments
• Collaborate with DevOps teams to integrate models into existing systems
• Performance Optimization: Optimize the performance of data pipelines and machine learning models
• Fine-tune models for accuracy, efficiency, and scalability
• Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders
• Communicate technical concepts and findings to non-technical audiences
• Continuous Learning: Stay current with advancements in data science and engineering
• Implement new technologies and methodologies to improve data engineering processes