Deskripsi pekerjaan
You will work closely with the product, sales, and PM teams.
Tanggung jawab: Design, implement, and optimize scalable data pipelines and analytics standards to support current and future analysis; Design, build and optimise machine learning models for prediction at fine-grained levels of granularity; Select, train, retrain and deploy appropriate forecasting models per segment, adapting to changing data patterns; Develop, configure, and test informatics and data science solutions for diverse technical applications, while providing ongoing support; Monitor model performance over time and implement improvements as needed; Set up experiments and feedback mechanisms to ensure continuous improvement and high impact of data products; Collaborate closely with other data scientists to agree modelling standards, evaluation metrics and architectural patterns; Present findings, insights, and strategic recommendations to leadership and cross-functional teams; Ensure solutions are production-ready, scalable and maintainable; Requirements:; Bachelor’s degree in engineering, computer science, finance, mathematics, or related fields; 5+ years of industry experience in data mining, machine learning, statistical analysis, or predictive modelling; Strong experience and proficiency in machine learning (ML) areas such as natural language processing, computer vision, time-series and statistical learning theory; Proficiency in programming languages such as Python; Proven experience building multi-model or many-model forecasting solutions; Hands-on experience with MLOps tools; Strong Python skills and experience with common data science and machine learning libraries e.g: TensorFlow, Pytorch, YOLO, OpenCV; Experience working with large-scale datasets, uncovering hidden patterns, using data visualization tools, writing SQL, and leveraging GPUs for model development; Fluent in English.
Tanggung jawab
- Design, implement, and optimize scalable data pipelines and analytics standards to support current and future analysis
- Design, build and optimise machine learning models for prediction at fine-grained levels of granularity
- Select, train, retrain and deploy appropriate forecasting models per segment, adapting to changing data patterns
- Develop, configure, and test informatics and data science solutions for diverse technical applications, while providing ongoing support
- Monitor model performance over time and implement improvements as needed
- Set up experiments and feedback mechanisms to ensure continuous improvement and high impact of data products
- Collaborate closely with other data scientists to agree modelling standards, evaluation metrics and architectural patterns
- Present findings, insights, and strategic recommendations to leadership and cross-functional teams
- Ensure solutions are production-ready, scalable and maintainable
- Requirements:
- Bachelor’s degree in engineering, computer science, finance, mathematics, or related fields
- 5+ years of industry experience in data mining, machine learning, statistical analysis, or predictive modelling
- Strong experience and proficiency in machine learning (ML) areas such as natural language processing, computer vision, time-series and statistical learning theory
- Proficiency in programming languages such as Python
- Proven experience building multi-model or many-model forecasting solutions
- Hands-on experience with MLOps tools
- Strong Python skills and experience with common data science and machine learning libraries e.g: TensorFlow, Pytorch, YOLO, OpenCV
- Experience working with large-scale datasets, uncovering hidden patterns, using data visualization tools, writing SQL, and leveraging GPUs for model development
- Fluent in English
Informasi lowongan
- Tipe pekerjaan
- Full-time
- Gaji
- Negosiasi