Jr Data Scientist AI

Who We Are:
Spring Venture Group is a leading digital direct-to-consumer sales and marketing company with product offerings focused on the senior market. We specialize in distributing Medicare Supplement, Medicare Advantage, and related products via our family of brands and dedicated team of licensed insurance agents. Powered by our unique technologies that combine sophisticated marketing, comparison shopping, sales execution, and customer engagement – we četiri thousands of seniors across the country navigate the complex world of Medicare every day.

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 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.

As a Junior Data Scientist on the 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 Cranial 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.

This is a hybrid role 2-3 days a week in our downtown office, so you must currently be in Kansas City. We are unable to sponsor for this role, so cannot consider candidates with their EAD/OPT
. Also, no third parties.

• Learn about and improve existing AI and machine learning systems, or build new ones ფუნქ.
• Train and Deploy great models, then create tangible value with them.
  • Develop lead engagement strategies that utilize model outputs.
  • Train a close‑rate model and apply it to customer outreach.
  • Derive actionable insights fromақыт transcripts using LLMs.
  • Test a hypothesis and utilize the data to drive the way forward.
• Run thorough A/B tests that show and validate measurable improvements.
• 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 климат и utilize our tech stack – including MySQL, Python, AWS (esp. Sage Maker), Git, FastAPI, and Lang Chain.
• Share ownership of production workflows, in collaboration with senior team members.
• Demonstrate consistent initiative and follow‑through.
• Work through every step of the Machine Learning Lifecycle; take a problem definition all the way through to a deployed and tracked production model.
• Build trust throughout the organization.
• Perform other duties and responsibilities as assigned.

• Bachelor’s degree in an analytical or technical field, or 2+ years of relevant work experience.
• Experience analyzing data and using it to drive decisions.
• Demonstrated problem‑solving skills.
• Passionate about mathematical and statistical applications in business.
• Strong sense of accountability and integrity with exceptional written and verbal communication skills.
• Adaptable, acting with appropriate urgency when needed.
• General Sold understanding of SQL and relational databases.
• Fluency in at least one programming language, preferably Python.
• Familiarity with basic machine learning concepts.
• Interest in AI and LLMs for engineering and analysis tasks.
• A strong work ethic combined with self‑awareness and a commitment to continuous improvement. Demonstrated ability to receive and incorporate feedback effectively.

• Graduate coursework in Data Science, Statistics, or similar.
• Experience using version control systems and performing code reviews.
• Familiarity with owning 24/7 operational systems.
• Experience in a…