Data Scientist - End-to-End ML, Mentorship & Equity

Financial Solutions

Gary (IN)

Presencial

USD 58.000 - 83.000

Tempo integral

14 dias+

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

Passe pelos filtros ATS

Benefícios oferecidos por esta vaga

Equity participation
Mentorship from technology leaders

Resumo da vaga

Financial Solutions in Gary, IN seeks a Data Scientist to collaborate with product and design teams to ship features end to end and prototype PoC solutions for emerging tech. You will lead technical reviews and ensure data integrity across our stores, mentoring mid-level hires along the way.

The position requires translating Regression Analysis for non-technical audiences and showcasing a portfolio of work.

Qualificações

  • Experience translating Regression Analysis complexity for a non-technical audience.
  • A portfolio or work samples that demonstrate your technology expertise.
  • The patience to mentor without taking over the keyboard.
  • Fluency across Large Language Models and Scikit-learn, with strong opinions on both.

Responsabilidades

  • Collaborate with product and design teams to ship features end to end
  • Carry features from whiteboard sketch to Gary, IN production without dropping the baton
  • Prototype proof-of-concept solutions for emerging technology requirements
  • Lead technical design reviews for mid-level technology initiatives
  • Reach into legacy Regression Analysis modules and leave them cleaner than you found them
  • Mentor newer mid-level hires on how Financial Solutions actually wires RAG together
  • Own data integrity across Financial Solutions's Stress Management stores so Gary numbers never lie

Conhecimentos

Large Language Models
Scikit-learn
Regression Analysis
Mentoring

Descrição da vaga

Financial Solutions in Gary, IN seeks a Data Scientist to collaborate with product and design teams to ship features end to end and prototype PoC solutions for emerging tech. You will lead technical reviews and ensure data integrity across our stores, mentoring mid-level hires along the way.

The position requires translating Regression Analysis for non-technical audiences and showcasing a portfolio of work.

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