Senior Data Scientist

Key Responsibilities: • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. • Use advanced analytics methods to extract value from business data. • Perform large-scale experimentation and build data-driven models to answer business questions. • Conduct research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. • Determine requirements that will be used to train and evolve deep learning models and algorithms. • Articulate a vision and roadmap for the exploitation of data as a valued corporate asset. • Influence product teams through presentation of data-based recommendations. • Evangelise best practices to analytics and products teams. • Define technical strategies for processing, analyzing, interpreting, big data sets. • Leverage machine learning and modelling techniques to identify, analyze and present actionable data to drive business decisions. • Develop custom data models and algorithms to apply to data sets. • Understand the current AS-IS process, identify the gaps/challenges, agree with the process, business owner the TO-BE process and position the use of digital technology to deliver the required value. • Prioritizes and manages Business Process Improvement portfolio of projects, appropriately tracking success measures to effectively execute improvements, drive performance objectives and demonstrate value. • Coordinate/Collaborate with different functional teams to implement models and monitor outcomes. • Develop processes and tools to monitor and analyze model performance and data accuracy. Skills & Qualifications: • At least 8 year(s) of working experience in the related field is required for this position. • Perform analysis and deduce conclusions or observations from analysis. • Able to design and improve data models. • Able to interpret the modelling results, describe performance metrics to business users Experience in solving business problems with advanced analytical solutions • Experience in building and deploying data science and AI solution to production • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical mixed models/multi-level modelling. • Experience in developing visualizations using tools such Matplotlib, Plotly and Seaborn etc. • Preferably with hands-on experience on SAS, SPSS, or other analytics platform. • Programming background in Python is a must, R and other languages are added benefit. • Database knowledge of NoSQL, PostGreSQL and queries with SQL are a must. • Basic front end knowledge of NodeJS, Vue, Nuxt, Django are an advantage. • Having Experienced in Machine Learning tools like Tensorflow, DeepDream, Amazon, Machine Learning, Google Cloud Vision, Computer Vision etc. • Working experience in diverse domains including maintenance, supply chain, manufacturing or plantation. • Presenting data in charts, graphs, tables, designing and developing relational databases for collecting data and in some organizations it also includes building or designing data input or data collection screens. • Programming knowledge Javascript Frameworks like Node, React, etc. For quality data visualization dashboard development • Process manufacturing technology & system exposure for Pulp and Paper Manufacturing, Palm Oil refining and Viscose Fibre Manufacturing will be a bonus. Education: • Bachelor's or Master's Degree in Artificial Intelligence/ Data Science/ Machine Learning/ Software Engineering/ Computer Science/ MIS/ Engineering or related discipline