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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

Accenture is an equal opportunity employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

If you would like to be considered for employment opportunities with Accenture, and need special assistance due to a disability or accommodation for a disability, please call us at 0917.545.9341 or send us an email at

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