Senior AI/ML scientist in Computational Toxicology driving advanced AI/ML solutions for safer drug discovery and regulatory methodologies.
About the role
- Data Scientist helping Qliro develop payment solutions through machine-learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision-making capabilities.
Responsibilities
- Research, develop, and analyze machine-learning models within the credit domain
- Work with real-time models for credit decisioning and fraud detection
- Develop and improve portfolio-level scoring models
- Monitor model performance, generate insights, and continuously improve existing models
- Brainstorm and engineer new features that drive predictive power and business value
- Contribute to projects that improve our model development processes, tooling, and infrastructure
- Collaborate closely with data science, analytics, engineering, and business stakeholders
- Together with your team, you’ll be a key contributor to improving Qliro’s credit decisions, enabling more of our merchants’ customers to pay seamlessly through smart, data-driven fraud prevention.
Requirements
- Have a strong passion for data and understanding how it connects to real business problems
- Curiosity in how to use software engineering skills to deploy code
- Hold a background in a quantitative field such as engineering, physics, mathematics, statistics, or similar
- Have experience building and deploying models using Python
- Have experience with SQL and are comfortable working with data at scale
- If you have worked with boosted decision trees and neural networks, this is beneficial.
- Are familiar with Git and modern development workflows
- Experience with technologies such as dbt or Airflow is a strong plus — as is experience leading projects across multiple teams or departments.
Benefits
- You’ll join a skilled and ambitious data team working with a modern data platform at the core of Qliro’s decision-making.
- Your work will directly impact how the business operates, scales, and creates value — and you’ll have plenty of room to grow, learn, and shape our data journey going forward.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Reliability Data Scientist focused on predictive models and industrial data analysis for advanced manufacturing projects in Mexico.
Data Scientist/Senior Data Scientist overseeing evaluation of quantitative risk management practices at Federal Reserve Bank. Engaging in reviews, analyses, and internal consulting within the organization.
Lead Data Scientist at Federal Reserve Bank of Atlanta. Conducting quantitative risk management analysis and participating in regulatory reviews of large BHCs.
Seeking a Data Scientist/Machine Learning Semi Senior to develop data - based solutions in Buenos Aires. Must have strong Python skills and experience in Machine Learning.
Data Scientist/Developer at SEB transforming complex financial data into predictive insights through data modeling and simulations. Strong Python and finance skills required in a hybrid work environment.
Senior Data Scientist leveraging computer vision and machine learning to support Quality Control at Walmart. Collaborating with engineering and business to deliver scalable data solutions.
Senior Data Scientist addressing complex ML and AI challenges at JLL. Collaborating in a hybrid environment with a focus on real estate technology in Tel Aviv.
Applied Data Scientist designing and implementing AI - driven pipelines for Binance's blockchain products. Collaborating on complex systems to enhance market understanding and trading intelligence.
Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.