Jr Data Scientist - AI at Spring Venture Group

Kansas City, Missouri, United States -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

0.0

Posted On

17 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analysis, Machine Learning, Model Training, Model Deployment, LLMs, A/B Testing, Tableau, MySQL, Python, AWS, SageMaker, Git, FastAPI, LangChain, SQL, Data-Driven Techniques

Industry

Insurance

Description

Company Description 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 help thousands of seniors across the country navigate the complex world of Medicare every day. Job Description 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. About the role 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 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. *This is a hybrid role 2-3 days a week in our dowtown office, so you must currently be in Kansas City. We are unable to sponsor for this role, so can not consider candidates with their EAD/OPT. Also, no third parties. 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. Qualifications 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. Preferred 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 highly-productive work environment where ambiguity is the norm. Additional Information Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Competitive Compensation Medical, Dental and vision benefits after a short waiting period 401(k) matching program Life Insurance, and Short-term and Long-term Disability Insurance Optional enrollment includes HSA/FSA, AD&D, Spousal/Dependent Life Insurance, Travel Assist and Legal Plan Generous paid time off (PTO) program starting off at 15 days your first year 15 paid Holidays (includes holiday break between Christmas and New Years) 10 days of Paid Parental Leave and 5 days of Paid Birth Recovery Leave Annual Volunteer Time Off (VTO) and a donation matching program Employee Assistance Program (EAP) - health and well-being on and off the job Rewards and Recognition Diverse, inclusive and welcoming culture Training program and ongoing support throughout your Venture Spring Venture Group career Security Responsibilities: Operating in alignment with policies and standards Reporting Security Incidents Completing assigned training Protecting assigned organizational assets Spring Venture Group is an Equal Opportunity Employer Department: Corporate

Responsibilities

The Junior Data Scientist will learn about and improve existing AI/ML systems or build new ones, focusing on training and deploying models to create tangible business value. Responsibilities include developing lead engagement strategies, deriving insights from transcripts using LLMs, and conducting analyses to present actionable insights to leadership.