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Data Scientist (Machine Learning)

Job Location: Manila

Job Number: 10828


- Job description

- Analyzes raw information through statistical analysis to discover trends or patterns that can be used for building data products to extract valuable business insights.
     - Synthesizes data and methodologies into actionable business strategies.
     - Enhances data collection procedures for building analytical systems.
     - Uses predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes.
     - Utilizes machine learning algorithms and models and presents them using data visualization techniques.
     - Has strong familiarity with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning.
     - Has an exceptional understanding of the different software utilities for data and computation such as Hadoop, Apache Spark and Impala.
     - Collaborates with the company’s business clients to identify gaps and structure problems as well as to propose solutions and strategies to business challenges.
     - Develops processes and tools to monitor and analyze model performance and data accuracy.
     - Leads trainings and informational sessions on statistics.
- At least 2 years work experience on big data and building statistical models
     - Candidate must possess at least a Bachelors degree in Math, Statistics, Computer Science, Engineering and other related fields
     - Coding knowledge and experience with several languages Java JavaScript etc
     - Experience in using statistical computing languages R, Python, etc. to manipulate data and draw insights from those data sets.
     - Experience in working and creating Data Architecture.
     - Knowledge in different machine learning techniques and their real-world values and drawbacks.
     - Knowledge of advanced statistical and data mining techniques
     - Experience with database interrogation and analysis tools Hadoop, Spark, Hive, SQL, SAS.
     - Experience in visualizing and presenting data using ggplot, Business Objects, etc.
     - Excellent written and verbal communication skills.
     - Has the drive and resilience to try new ideas and technologies

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