Overview
At SVG, we are a leader in driving business solutions using analytics and data. The Data Science
team operates at the very heart of this culture, constantly investigating how machine learning can
optimize business, automate processes, improve KPIs, and forecast trends. The Applied Data
Science team is ideal for those who like to be where business and science intersect. They
collaborate with stakeholders across SVG to identify business problems, and then apply data
science skills to optimize objectives and directly impact key performance indicators. About the role
As a Junior Data Scientist on the Applied DS team you will receive exposure to all facets of data
science at SVG and be given self-development and skills training opportunities. You will work as part
of a team to solve business-related problems using data-driven techniques. You will help transform
our data into tangible business value by performing statistical analysis, contributing to production
services, and communicating the outcomes across business verticals.
 ResponsibilitiesLearn about and improve existing machine learning systems, or build new ones altogether.Train great models, then create tangible value with them.Develop a purchasing strategy that utilizes others model outputs.Train a close rate model and apply it to a new value stream.Test a hypothesis and utilize the data to drive the way forward.Conduct analyses of business topics and present actionable insights to team leadership. Build Tableau dashboards to investigate business questions and analyze ML systems.Begin writing production-level machine learning and engineering code.Create automated solutions that solve operational pain-points and reduce manual work.Develop understanding of and utilize our tech stack - including MySQL, Python, AWS (esp.SageMaker), Git, FastAPI, and LangChain.Share ownership of production workflows, in collaboration with senior team members.Demonstrate consistent initiative and follow-through.