Job Description

Location: Dublin

Dublin - 3 Days a week

Job description:

• Supervised machine learning techniques, including ensemble tree and other non parametric techniques for prediction of binary and continuous outcomes, e.g. xgboost, LightGBM, CatBoost, deep learning

• Feature engineering, including feature ideation, and creation via transformations and aggregations of raw data

• Model development process, including train/test, k-fold CV, appropriate performance metrics

• Unsupervised methods for clustering and segmentation of consumers, including k-means, k-mode, DBSCAN

• Experience translating business problems into supervised and unsupervised machine learning problems to find solutions

• Optimization and experimentation of outcomes with multiple controllable parameters, including use of simulations, approximations and assumptions as appropriate

͏

2. Perform coding and ensure optimal software/ module development

• Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software
• Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases
• Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces.
• Analyzing information to recommend and plan the installation of new systems or modifications of an existing system
• Ensuring that code is error free or has no bugs and test failure
• Preparing reports on programming project specifications, activities and status
• Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns
• Compile timely, comprehensive and accurate documentation and reports as requested
• Coordinating with the team on daily project status and progress and documenting it
• Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders