Data Scientist / Deep Learning Engineer

Spice IT

United States

Remoto

USD 140.000 - 210.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Spice IT seeks a Senior Data Scientist / Deep Learning Engineer to develop credit scoring models using neural networks and NLP. Candidates with R&D experience in fintech and large datasets should apply.

In this role, you will conduct research and development on training neural network models tailored to assess creditworthiness throughout various stages of the customer lifecycle, including pre-approval and application review.

Competenze

  • Strong background in neural networks and NLP techniques, including transformers.
  • Experience with credit scoring models and fintech data is highly desirable.
  • Ability to work with large datasets and production-grade ML systems.

Mansioni

  • Research and develop neural models tailored to creditworthiness across the customer lifecycle.
  • Lead the end-to-end model lifecycle from design to deployment.
  • Collaborate with product teams to translate business goals into ML solutions.

Conoscenze

Neural networks
NLP
Transformers
Credit scoring
Fintech experience
Large datasets
Production deployment

Descrizione del lavoro

Spice IT seeks a Senior Data Scientist / Deep Learning Engineer to develop credit scoring models using neural networks and NLP. Candidates with R&D experience in fintech and large datasets should apply.

In this role, you will conduct research and development on training neural network models tailored to assess creditworthiness throughout various stages of the customer lifecycle, including pre-approval and application review. Your work will encompass the full model lifecycle, from initial design to production deployment, ensuring that models are robust and effective.

Collaboration with product teams is essential, as you will formalize business initiatives and present your findings within the data science domain. The position requires a strong foundation in neural networks and classical NLP techniques, particularly with transformers, to drive innovative solutions in credit scoring.

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