SUBSIDIARY ABS-CBN Corporation
POSITION Data Scientist (News and Current Affairs)
WORK LOCATION National Capital Region
DATE POSTED October 02, 2019

BUSINESS SUMMARY

ABS-CBN Corporation is the Philippines' leading information and entertainment multimedia conglomerate. The Company is primarily involved in television and radio broadcasting, as well as in the production of television and radio programming for domestic and international audiences and other related businesses. ABS-CBN produces a wide variety of engaging, world-class entertainment programs that are aired on free-to-air television.

The Company is also one of the leading radio broadcasters, operating eighteen radio stations throughout the key cities of the Philippines. ABS-CBN provides news and entertainment programming for nine channels on cable TV and operates the country's largest cable TV service provider. The Company also owns the leading-cinema and music production and distribution outfits in the country. It brings its content to worldwide audiences via cable, satellite, online and mobile.

The Company has interests in content development and production, cable and satellite television services, merchandising and licensing, mobile and online multimedia services, glossy magazine publishing, video and audio post production, and overseas services, all of which complement and enhance ABS-CBN's strength in content production and distribution.

RESPONSIBILITIES

    The Data Scientist applies their expertise in statistics in building machine learning models to make predictions and to answer key business questions. The Data Scientist uncovers hidden insights by leveraging both supervised and unsupervised learning methods toward machine learning models. They are in charge of training mathematical models that will allow them to better identify patterns and derive accurate predictions.

    The Data Scientist utilizes their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets to get information to develop data-driven solutions.

    Major Duties and Responsibilities:
    1. Evaluating statistical models to determine the validity of analyses.
    2. Using machine learning to build better predictive algorithms.
    3. Testing and continuously improving the accuracy of machine learning models.
    4. Building data visualizations to summarize the conclusion of an advanced analysis.
    5. Responsible for taking big data and using it to answer questions that add value to an upcoming digital product and communicating these to influence business decisions.
    6. Use technical tools in cleaning and organizing raw data. They also use descriptive statistics to get a big picture view of the data.
    7. Analyze interesting trends found in data. Lastly, they create data visualizations to present results of their technical analysis.

REQUIREMENTS

    • Strong problem-solving skills with an emphasis on product development.
    • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
    • Experience working with and creating data architectures.
    • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
    • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
    • Excellent written and verbal communication skills for coordinating across teams.
    • A drive to learn and master new technologies and techniques.
    • We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
      • Coding knowledge and experience with several languages: C, C ++, Java, JavaScript, etc.
      • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
      • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
      • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
      • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
      • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc
      • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
      • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Preference will be given to candidates who APPLY ONLINE.