This position is being created to help the Go-To-Maret Data Science Team with the daily support and on-going optimization of Data-Science and Machine Learning (DSML) model architecture that bring transformative insights to the business while identifying opportunities to increase revenue, improve sales productivity and drive resource efficiency.
As the point of contact for support of the Data Science team within GTM, you will be fully responsible for the health status, critical recovery, automated testing and maintenance of the end-to-end data workflows going from the data sources to the data-driven business insights and data visualization required to support our GTM teams.
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Bachelors Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline.
Excellent Data Engineering skills using SQL (specifically Snowflake) and DBT Pipelines.
Excellent programming skills using Python.
Demonstrated experience of Streamlit framework in Python.
5+ years of relevant with deploying data science solutions on public cloud platforms (specifically Azure Services) with the use of containers (specifically Docker)
5+ years of relevant experience developing/testing/scaling complex ML solutions.
5+ years of relevant experience connecting different APIs to build end-to-end data flows.
Strong ability to take ambiguous business problems and develop end-to-end data workflow to solve them.
Deep interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics, and program evaluation.
Demonstrated ability to work across multiple stakeholder groups
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.