Data Scientist II: Build Scalable Analytics & Pipelines

JobCubby

Hinoba-an

On-site

PHP 800,000 - 2,000,000

Full time

14 days+

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Job summary

JobCubby is seeking a Data Scientist to analyze data from multiple internal sources, design and maintain data processing pipelines, and apply descriptive, predictive, and prescriptive analytics. You will monitor model performance and data accuracy, and present outcomes clearly to stakeholders.

Ideal candidates have 3+ years of experience, strong statistics background, and proficiency with Scala, Python, SQL, and BI tools.

Qualifications

  • 3+ years of proven working experience as a data scientist.
  • Thorough knowledge of modern data platforms.
  • Experience in designing, developing, and monitoring stable and performant software with minimum guidance.
  • Knowledge of statistics and experience using statistical packages for analyzing large data sets and applying predictive analytics
  • Experience with Scala, Python, SQL
  • Background in mathematics, economics, computer science, engineering, information management or statistics
  • Effective English written and verbal communication skills

Responsibilities

  • Analyze data from various internal sources and define metrics
  • Design, develop and maintain data processing pipelines to use these data sources individually or combined
  • Develop processes and tools to monitor and analyze model and system performance and data accuracy
  • Create and or improve descriptive, predictive, and potentially prescriptive analytics
  • Provide outcome in a clear and concise manner to stakeholders

Skills

Data analysis
Communication skills
Statistical methods
Data pipelines

Education

Mathematics
Economics
Computer science
Engineering
Statistics

Tools

Scala
Python
SQL
BI tools

Job description

JobCubby is seeking a Data Scientist to analyze data from multiple internal sources, design and maintain data processing pipelines, and apply descriptive, predictive, and prescriptive analytics. You will monitor model performance and data accuracy, and present outcomes clearly to stakeholders.

Ideal candidates have 3+ years of experience, strong statistics background, and proficiency with Scala, Python, SQL, and BI tools.

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