Job description: our organization is seeking a skilled data scientist to join our team. As a data scientist, you will be responsible for working on business cases that have a significant impact on the company's success.
key responsibilities:
* create predictive modeling, simulations, and optimization solutions to address business questions or use cases
* apply machine learning 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
* deploy models using airflow, docker on google cloud platforms
* own pricing and promotion, marketing mix, forecasting study from scoping to delivery
* mine large amounts of data to discover trends and patterns using various technologies like bigquery and sql
* present insights in an easy-to-interpret way to the business teams
* develop visualizations using large datasets
required skills and qualifications:
* be/btech [ computer science, information technology preferred ], mba or pgdm in business analytics / data science, additional ds certifications or courses, msc / mstat in economics or statistics
* 3+ years of experience in building data models and driving insights
* 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.
* hands on experience on coding languages python(mandatory), sql
* 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