Senior Data Science Engineer for AI Risk & Enablement

Senior Data Science Engineer for AI Risk & Enablement

Full-Time 123750 - 151250 $ / year (est.) On-site
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At a Glance

  • Tasks: Apply advanced data science to enhance AI models and provide actionable insights for clients.
  • Company: Join MindBridge, a leader in AI risk management with a focus on innovation.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team that values creativity and continuous learning.
  • Why this job: Make a real impact by solving complex customer challenges with cutting-edge AI technology.
  • Qualifications: Experience in data science and strong collaboration skills are essential.

The predicted salary is between 123750 - 151250 $ per year.

Mind Bridge is seeking a Senior Data Science Engineer to apply advanced data science within the Success Engineering team.

You will configure and tune Mind Bridge’s models and ensembles, assess applicability to customer data, and translate results into actionable counsel for clients.

You'll collaborate with Success Engineering, Product, Engineering, and AI/ML teams to address complex customer needs while operating within Mind Bridge’s product boundaries.

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Senior Data Science Engineer for AI Risk & Enablement employer: MindBridge

MindBridge is an exceptional employer that fosters a collaborative and innovative work culture, allowing Senior Data Science Engineers to thrive in a remote environment while contributing to impactful projects. With a strong emphasis on employee growth, MindBridge offers opportunities for professional development and equity participation, making it a rewarding place for those looking to make a meaningful impact in the field of data science.

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Contact Details:

MindBridge Recruitment Team

We think you need these skills to ace Senior Data Science Engineer for AI Risk & Enablement

Advanced Data Science
Model Configuration
Model Tuning
Data Assessment
Actionable Insights Translation
Collaboration Skills
Customer Needs Analysis