APAC Data Scientist (Based in Region Office)Primary Location: 22 Changi South Avenue 2 Singapore 486064 , Singapore (Region Office), Singapore - SG, 486064 Job ID 060103
The Data Scientist develops and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. He/ She works with a team that is responsible for researching and implementing advanced analytics models utilizing a diverse set of techniques. He/She leverages data and Artificial Intelligence (AI) Machine Learning (ML) techniques and algorithms to predict an outcome based on a learned set of historical events. The Data Scientist has experience applying models to moderate to large scale problems.
- Develops data design based on exploratory data analysis to meet stated business need.
- Defines key data sources from UPS and external sources to deliver models.
- Writes code to collect and manipulate data from multiple data sources.
- Works with team to select and implement model development process from statistics and machine learning to answer business problems.
- Defines model KPI expectations and validation, testing, and re-training of existing models to meet business objectives.
- Develops data features that will serve as inputs to Artificial Intelligence (AI)/Machine Learning techniques to meet stated business requirements.
- Develops predictive and prescriptive models by applying statistical, AI, ML techniques.
- Synthesizes insights and documents findings through clear and concise presentations and reports to inform stakeholders.
- Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
- Develops procedures to monitor model and production system performance/integrity.
- Leverages analytics and visualization tools to design and present information to drive fact-based decision making.
Skills and Qualifications
- Possess experience in forecasting models (using techniques such as ARIMA and Machine Learning) or marketing analytics or both.
- Possess a Bachelor’s Degree or Master’s Degree in Mathematics, Statistics, Analytics or related discipline. PhD will be preferred.
- Minimum 2 years of relevant experience in similar capacity associated with computer science, data science including advanced analytical techniques, data architecture, machine learning and associated mathematics and statistical capabilities.
- Demonstrates extensive knowledge of statistical sampling, tests, and analyses and chooses the most appropriate method; demonstrates extensive knowledge of multivariate and generalized linear models and time series models; demonstrates an ability to interpret results and draw conclusions from analyses; troubleshoots errors in data, models, and interpretation; creates processes for improving the integrity of existing data.
- Excellent interpersonal skills with the ability to communicate effectively and able to work well with people of all levels.
- Possess solid project management skills, PMO or similar training or certification.
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