Jr Data Scientist AI

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profile Job Location:

Kansas City, KS - USA

profile Monthly Salary: Not Disclosed
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

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 :

 

  • Bachelors 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


Remote Work :

No


Employment Type :

Full-time

OverviewAt 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 id...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

Who We Are:As a leader in Medicare health insurance distribution, Spring Venture Group guides people through one of their most important life decisions — finding the right insurance coverage. We are on a mission to be the most trusted partner for our customers and our people, enabling ... View more

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