Data Scientist II: Impactful ML for Pricing & Logistics

Remotedxb; Dubai; On-site; AED 250,000 - 450,000; Full time

Benefits offered by this job

Meal vouchers

Health insurance

Dental insurance

Extended maternity and paternity leave

Daycare assistance

Wellness partnerships

Education incentives and MBA/Post-Grad

Flight discounts

Pet health insurance

Job summary

Arcotech, the technology arm of Arco Educação, seeks a data scientist to partner with business areas and build analytical solutions with real impact. You will develop predictive indicators, ML models, and AI applications for pricing, credit, billing, fraud prevention, portfolio, supply, and logistics.

You will implement and monitor solutions to ensure adoption, performance, and value generation, translate business problems into technical solutions, and lead complex demands with autonomy and

Qualifications

• Consistent experience in Data Science with solid mastery of applied statistics and machine learning.
• Proficiency in Python and SQL.
• Ability to translate business problems into objective technical solutions.
• Autonomy and proactivity to lead complex demands.
• Strong communication and stakeholder management skills.

Responsibilities

• Partner with business areas to identify opportunities and build analytical solutions with real impact.
• Develop and evolve predictive indicators, machine learning models, and AI applications for pricing, credit, billing, fraud prevention, portfolio, supply, and logistics.
• Implement and monitor solutions to ensure adoption, performance, and value generation.

Skills

Data Science

Statistics

Machine Learning

Python

SQL

Business Problem Solving

Leadership

Stakeholder Management

Job description

Arcotech, the technology arm of Arco Educação, seeks a data scientist to partner with business areas and build analytical solutions with real impact. You will develop predictive indicators, ML models, and AI applications for pricing, credit, billing, fraud prevention, portfolio, supply, and logistics.

You will implement and monitor solutions to ensure adoption, performance, and value generation, translate business problems into technical solutions, and lead complex demands with autonomy and