Sr. Machine Learning Engineer

Job Description
The Senior ML Engineer is primarily responsible for high-quality Python and SQL scripts needed to bring machine learning solutions to life. As a key team member, you will work with 1-3 other developers and engineers to gather project requirements, collaborate on solution design and strategy, identify essential architectural components, organize tasks, and contribute directly to all parts of the codebase. As a senior member of a highly professional team, you will work on all aspects of the project lifecycle encompassing everything from data discovery to performance monitoring and executive communications.
Responsibilities:
Organize project tasks, requirements, documentation and progress through Jira and Confluence.
Work with stakeholders to gather requirements, communicate status and share insights.
Build high-quality Tableau dashboards to help end users engage with model output and understand recommendations.
Perform data discovery and analysis to explore and define new use cases.
Use applied mathematics and quantitative skills as needed for modeling tasks, impact analysis, scenario planning, forecasting etc.
Develop, train, and deploy statistical and machine learning models for revenue, campaign optimization, customer LTV, click propensity, action sequencing, personalization, and segmentation.
Maintain an organized code base using GitHub, Jira and Confluence.
Develop solution modules and subsystems for preprocessing, measurement, drift, error handling, and anomaly detection.
Develop data pipelines by creating efficient data models, writing high-quality ETL/SQL, building Alteryx workflows, managing tickets, and collaborating with partners.