Data Scientist

Payo

  • Makati, Philippines
    2232 Chino Roces Avenue , Makati, Metro Manila, Philippines
    Makati
    Metro Manila
    Philippines
    Philippines
  • 40,000.00 - 50,000.00 PHP / monthPHP40,000.0050,000.0040,000.00MONTH
  • Full time
Recruiter was hiring a day ago

Job Description

Responsibilities

  • Work with different stakeholders within the organization to identify opportunities for leveraging company data to drive business solutions·
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Minimum Qualifications

  • Strong problem-solving skills with an emphasis on product / process 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 3 years of experience manipulating data sets and building statistical models, has a degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following:
    • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • 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.
    • Experience using web services
    • 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.

Perks and Benefits

  • Paid Holidays Paid Holidays
  • Paid Vacation Leave Paid Vacation Leave
  • Paid Sick Leave Paid Sick Leave

Required Skills

  • Analyzing Data
  • Data Interpretation

Jobs Summary

Job level
Associate / Supervisor
Job category
IT and Software
Educational requirement
Bachelor's degree graduate
Office Address
2232 Chino Roces Ave, Makati, 1233 Metro Manila, Philippines
Industry
Logistics / Procurement
Vacancy
1 opening
Website
http://www.payo.asia

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About Payo

Payo started out as a "cash -on-delivery" payment gateway & position itself as the first and only last mile management service in the Philippines. Today, we have evolved and providing new services such as same day delivery, world class support, early remittances, nationwide warehousing for a quicker delivery time, and many more. Currently Payo has warehouses around the Philippines and has the priviledge of successfully delivering thousands of goods becoming part of the success stories of our merchants and courier partners.
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