Data Quality Lead at retrain.ai

retrain.ai logo
retrain.ai

Data Quality Lead

il flag
Israel

On-site

Full Time

#Product

#Data Analytics

#Python

#SQL

#Data Visualization

#Databases

#Data Structures

#Data Quality

#Quality

retrain.ai is looking for a Data Quality Lead

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Welcome to retrain.ai, where we are dedicated to reshaping the future of work through the power of advanced artificial intelligence and machine learning. We pride ourselves on maintaining a fast-paced and collaborative environment where every team member has the opportunity to drive meaningful change. We are currently looking for a talented professional to help us uphold the highest standards of excellence as we continue to grow.

What is this role?

We are looking for a Senior Data Quality Lead to join our Data and AI team on a full-time, on-site basis in Israel. This is a pivotal position for someone who is passionate about data integrity. You will be instrumental in ensuring that our AI-driven platforms remain accurate, reliable, and consistent by working hand-in-hand with our data product managers, engineers, and scientists.

What will you do?

  • You will partner with our data engineering team to define, implement, and refine robust control measures that ensure our data remains high-quality.
  • You will take ownership of our data quality procedures, establishing clear standards that guide the daily work of our data scientists and engineers.
  • You will proactively monitor our systems for anomalies, identifying trends and developing effective reporting mechanisms to address any issues that arise.

What makes you a great fit?

To succeed in this role, you should have a strong analytical mindset and a sharp eye for detail. We are looking for someone who possesses the following qualifications:

  • A bachelor’s degree in a relevant field, such as Computer Science or Data Science.
  • Practical experience with Python, SQL, and various data visualization tools.
  • A solid understanding of databases, data structures, and established data quality methodologies.
  • Excellent communication skills, which are essential for collaborating across different departments.
  • A proactive attitude and a genuine eagerness to learn within our dynamic, evolving environment.

It is considered a significant advantage if you have previous exposure to data engineering or data science projects, or if you have experience working with specialized software quality frameworks.

What's in it for you?

Joining our team means becoming part of an innovative company at the cutting edge of AI technology. You will have the chance to make a tangible impact on our products while working in a supportive, collaborative setting that values professional growth and technical excellence.

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retrain.ai

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2 applied

Company Size

51-100

Markets

SaaS
Human Resources

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