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Senior Data Scientist

Senior Data Scientist

Sigmaways IncSan Jose, CA, United States
20 days ago
Job type
  • Full-time
Job description

As a Senior Data Scientist , you will play a key role in empowering consumers and creating business value by designing, developing, and deploying intelligent solutions across a diverse range of clients including Financial Institutions, FinTechs, SMEs, Large Enterprises, and Government Agencies. You will focus on delivering "Certainty as a Service" through explainable and trustworthy models in domains such as lending, financial decisioning, management, and payments.

Key Responsibilities :

  • Design, develop, and deploy advanced machine learning and deep learning models for production use.
  • Create consumable metrics, explainability frameworks, and confidence measures for decision-making solutions.
  • Drive insights from complex and diverse datasets, including structured, unstructured, and time-series data.
  • Work across Verification Services, Entity Resolution, Attribute & Temporal Analysis, and related platforms.
  • Perform advanced error analysis, dimensionality reduction, and model interpretability assessments.
  • Translate business problems into data science solutions in lending, credit scoring, and financial management.
  • Collaborate with cross-functional teams to ensure successful deployment via Kubernetes, Docker, APIs, and event-driven architecture.
  • Communicate findings clearly with both technical and non-technical stakeholders.

Required Qualifications :

  • Master’s Degree or higher in Data Science, Computer Science, Information Systems, or a closely related field. A Ph.D. is preferred.
  • 10+ years of commercial experience in Machine Learning / Deep Learning, including model development and deployment.
  • Strong experience in Python for data science and software development.

    • Solid foundation in :

  • Natural Language Understanding (NLU).
  • Computer Vision.
  • Statistical Modeling
  • Data Visualization.
  • Classical and Advanced ML methods.
  • Experience in model interpretability and explainability.
  • Demonstrated ability to solve novel problems in the financial domain.
  • Strong experience with Kubernetes, Docker, REST APIs, GraphQL, and event streaming.
  • Excellent written and verbal communication skills.

    • Preferred Qualifications :

  • Exposure to credit risk modeling , risk evaluation, and financial decision systems.
  • Experience in Finance or FinTech domains.
  • Expertise in discrete, differential, deterministic, and probabilistic mathematical modeling.
  • Advanced skills in Transformer models, Attention Mechanisms, PCA or other dimensionality reduction techniques.
  • Strong background in Data Architecture , Query Optimization , and ML Ops .
  • Familiarity with positive attribution techniques , decision science in lending , and attribute analysis .
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    Senior Data Scientist • San Jose, CA, United States