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Job Summary

Data Scientist is responsible for modeling complex business problems and discovering insights using quantitative techniques (statistical learning, data mining, optimization etc.) Data Scientist often predict or classify situation and develop next best action models. DS scope of work often cover predictive and prescriptive analytic.

Job Description:

1. Collaborate across the business to understand IT and business constraints Work with product team and data engineer to plan and design data collection strategies, procedures and policies.

2. Understand new data sources and process pipelines, and catalog/document them.

3. Help to create data pipelines for more efficient and repeatable data science projects.

4. Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA).

5. Construct and test hypothesis regarding an underlying mechanic of business process.

6. Apply various ML and advanced analytics techniques to perform classification or prediction tasks

7. Testing of ML models, such as cross-validation, A/B testing, bias and fairness.

8. Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options.

Qualification:

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!