Job title
a data analyst is required to conceptualize and build machine learning solutions for clear dollar objectives.
* build predictive modeling, simulations, and optimization solutions to address business questions or use cases.
* apply ml and ai to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business.
* develop end-to-end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations.
* conduct model validations and continuous improvement of the algorithms, capabilities, or solutions built.
skill requirements:
* hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, svm, gradient boosting, logistic regression, k-means clustering, hierarchical clustering, bayesian regression etc.
* knowledge of using github, airflow for coding and model executions.
* understand visualization frameworks pydash, plotly, python flask.
* strong understanding of cloud frameworks google cloud, snowflake and services like kubernetes, cloud build cloud run.
preferred qualifications:
* experience visualizing/presenting data for partners using: looker, domo, plotly, d3.js, ggplot2, pydash, streamlit etc.
* willingness and ability to experiment with new tools and techniques.
* ability to maintain personal composure and thoughtfully handle difficult situations.