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Data Scientist

Prophecy Technologies

Job Summary:

We are seeking an experienced Data Science Engineer to join our team. The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision-making and user experience. This role offers an exciting opportunity to work on data-powered and AI-driven features, design robust data foundations, and embed language-model-based insights into platforms.

Key Responsibilities:
  • Drive the creation of data-powered and AI-driven features that enhance decision-making and user experience.
  • Design robust data foundations that support analytics, machine learning, and intelligent automation.
  • Embed language-model-based insights into platforms to summarize, classify, and surface key information.
  • Deliver high-impact dashboards and analytics tools tailored for leadership and operational teams.
  • Lead early-stage solution design, incorporating user feedback to refine functionality and usability.
  • Establish best practices for ML deployment, including versioning, automation, and performance monitoring.
  • Ensure AI systems align with product goals while maintaining reliability and interpretability.
  • Act as a cross-functional contributor connecting data science, engineering, and business strategy.
Required Technical Skills:
  • FastAPI, Django REST Framework, and Flask.
  • Pandas, NumPy, and frameworks such as Celery or PySpark.
  • Machine learning and AI-driven features.
  • Robust data foundations and data science.
  • Language-model-based insights and platform embedding.
  • High-impact dashboards and analytics tools.
  • Early-stage solution design and usability refinement.
  • ML deployment and performance monitoring.
Required Qualifications:
  • 6+ months of experience in data science and AI-driven features.
  • Proven expertise in machine learning, data science, and AI-driven features.
  • Relevant certification in data science and AI-driven features.
  • Bachelor's degree in Computer Science or related field.
Preferred Qualifications:
  • Nice-to-have skills in data science and AI-driven features.
  • Soft skills such as strong communication and collaboration skills.
  • Ability to work in fast-paced environment.
Vacancy posted 1 day ago
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