Data Scientist

Remote
Philippines, Metro Manila, Quezon City, 28F Galleria Corporate Center, EDSA cor Ortigas Av, 1110
Types: Experienced Professional, Full time
Department: Technical
Skills: algorithms, data analysis, data management, predictive analytice

The Data Scientist uses analytical, statistical, and programming skills to collect, analyze, interpret large data sets and drive data-driven solutions to business challenges.

JOB RESPONSIBILITIES

  • Formulates and leads multifaceted analytic studies against large data
  • Interprets and analyzes data using exploratory mathematical and statistical techniques based on the scientific method
  • Coordinates research and analytic activities utilizing various datapoints (unstructured and structured)
  • Employ programming to clean, massage, and organize the datain order to properly communicate their analysis and conclusions
  • Experiments against datapoints, provide information based on experiment results and provide previously undiscovered solutions to command data
  • Coordinates with Data Engineers to build data environments providing data identified by Business Analysts and System Analysts.
  • Contributes to the analysis of business problems, helps determines root causes, and recommends data-driven solutions
  • Defines company data assets (data models) and defines the appropriate processes to populate data
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

 

QUALIFICATIONS AND SKILLS

  • Advanced analytical knowledge of data
  • Skilled in data analysis and data management
  • Programming skills related to data management
  • Skilled in developing algorithms
  • Skilled in predictive analytics

 

EDUCATION AND EXPERIENCE

  • At least a Bachelor of Science degree in Operations Research, Management Engineering, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or related fields
  • 3-5 years of professional experience in data management
  • Proficient with one or more programming languages (Java, C++, Python, R, etc.)
  • Demonstrated experience applying data science methods to real-world data problems
  • Experience utilizing visualization tools to take advantage of the growing volume of available information

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