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Job Description
- Work with stakeholders throughout 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.
Job Requirements
- 3+ years of experience
- Hands on experience in data modeling and pipeline design and development.
- Hands on experience in building and training Machine learning models
- Concepts of Overfitting, Regularization, Hyper-parameter Tuning, Cross-Validation
- Knowledge in SQL , SQL performance tuning , Teradata is a plus.
- Understanding of Probability Theory and Statistical Analysis
- Knowledge of some ETL tools like Data Stage
- Programming skills in python (Numpy, pandas, sklearn, Tensorflow, pytorch)
- Fast learner ,can contribute from day one as well as integrate and apply new concepts quickly.
- Analytical thinking and problem solving skills.
- Knowledge of Big Data concepts (Hadoop, Spark, Scala)
- Knowledge of Imapala and Hive
- Knowledge of Linux and Bash script
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