Job Description

• 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.
• Evangelize 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.

Job Requirements

• At least 8 year(s) of working experience in the related field is required for this position.
• Write Data Definition Language or Data Manipulation Language SQL commands, be responsible for improving data quality and for designing or presenting conclusions gained from analyzing data using statistical tools like Microsoft Excel, SAS, SPSS and others.
• Perform analysis and deduce conclusions or observations from analysis
• Able to design and improve data models
• Able to interprets the modelling results, determine modes, reading scoreboards,
• Considerable experience in solving business problems with advanced analytical solutions
• Experience building and deploying predictive models, web scrapping, and scalable data pipelines
• Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical mixed models/multi-level modeling
• Preferably with hands-on experience on SAS, SPSS, or other analytics platform
• Programming background in R, Python, NoSQL, PostGreSQL and SQL are a must
• Having Experienced in Machine Learning tools like Tensorflor, 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. Programing 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

• Bachelor's or Master's Degree in Artificial Intelligence/ Data Science/ Machine Learning/ Software engineering/computer science/ MIS/Engineering or related discipline

Additional Info