Data Scientist

18 hours ago

Ortigas Pasig City, Philippines WHR Global Consulting Full time
Job Overview

We are seeking a highly skilled Data Scientist to support our product, sales, leadership and branding teams with actionable insights derived from analyzing company data.

Key Responsibilities
  • Collaborate with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.
  • Analyze and mine data from company databases to inform optimization and improvement of product development and business strategies.
  • Evaluate the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to complex data sets.
  • Utilize predictive modeling to enhance customer experiences, revenue generation, ad targeting and other business outcomes.
  • Coordinate with functional teams to implement models and monitor outcomes.
  • Design processes and tools to monitor and analyze model performance and data accuracy.
Qualifications and Skills
  • Strong problem-solving skills with a focus on product development.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Background in creating and working with data architectures.
  • Knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world applications.
  • Familiarity with advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with practical applications.
  • Excellent written and verbal communication skills for effective coordination across teams.
  • A drive to learn and master new technologies and techniques.
Technical Requirements
  • Coding knowledge and experience with multiple 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, SQL, etc.
  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
  • Experience creating and applying advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from third-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.

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