Critical Facility Group Pte Ltd jobs - Data Scientist

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. 

Job Description:

• Produce data visualizations that provide insight into data set structure and meaning.
• Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs).
• Incorporate SME input into feature vectors suitable for analytic development and testing
• Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
• Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
• Develop statistical tests to make data-driven recommendations and decisions.
• Develop experiments to collect data or models to simulate data when required data are unavailable.
• Develop feature vectors for input into machine learning algorithms.
• Identify the most appropriate algorithm for a given data set and tune input and model parameters.
• Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
• Oversee the development of individual analytic efforts and guide team in analytic development process.
• Guide analytic development toward solutions that can scale to large data sets.
• Partner with software engineers and cloud developers to develop production analytics.
• Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.

Entry Criteria:

• 5+ years of Data Science (and related) experience in building models and developing algorithms for machine learning, statistics, mathematical programming, and/or simulation in fast-paced tech companies.
• 5+ years of experience in analyzing large-scale structured and unstructured data using R or Python.
• 5+ years of experience in SQL and data modeling.
• Rich understanding of best practices in Data Science, Machine Learning and Deep Learning, Operations Research, and Statistical methods and applications. Solid understanding of popular Data Science tools and libraries.
• Fluency in a programming language (Python, C,C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
• Master degree from a well-recognized university.