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Job Summary


Job Type
Permanent

Seniority
Junior

Years of Experience
1-2 years

Tech Stacks
ETL
Google Cloud
Analytics
PowerBI
Azure
SQL
Python
AWS

Job Description


Apply
  • Perform, extract, transform, load operations from multiple data sources for modeling purposes
  • Develop custom data models and algorithms to analyze data for product development, marketing campaigns and business strategies
  • Design, build, test, validate, and deploy statistical and machine learning models to answer business needs and increase operational efficiency
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Work with external partners and experts from time to time on special projects

Requirements
  • Has a PhD or Masters degree in Statistics, Mathematics, Computer Science or another quantitative field with minimally 1 -2 years of experience in advanced analytics and modeling
  • A drive to learn and master new technologies and techniques
  • Excellent written and verbal communication skills for coordinating across teams
  • Knowledge of advanced statistical techniques and concepts (regression, clustering, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Experience in programming languages such as Python, SQL
  • Demonstrated experience applying a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
  • Developed and deployed applications running on public cloud systems such as AWS, Azure or Google Cloud Platform
  • Experience visualizing/presenting data for stakeholders using: PowerBI, Tableau
  • Ability to pick up new tools and technologies

Be part of a phenomenal team today!

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