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Spring Venture Group · 23 hours ago

Jr. Data Scientist

Kansas City, MO

Full-time

Hybrid

Entry Level

2+ years exp

Spring Venture Group is a leading digital direct-to-consumer sales and marketing company focused on the senior market. As a Junior Data Scientist on the Applied Data Science team, you will work collaboratively to solve business-related problems using data-driven techniques, while gaining exposure to all facets of data science.

Financial ServicesFinTechInsuranceMarketing

No H1B

Responsibilities

Learn about and improve existing AI and machine learning systems, or build new ones altogether

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 from 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 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

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

Qualification

PythonMachine LearningStatistical AnalysisSQLAWSData AnalysisCommunication SkillsProblem-SolvingAdaptabilityWork Ethic

Required

Bachelor's degree in 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 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