AI Engineer: Personalization & Growth Analytics

Avansas.com; Üsküdar; On-site; TRY 420,000 - 640,000; Full time

Job summary

Avansas.com in Istanbul (Üsküdar) seeks a Data Scientist to build predictive models for personalization, churn prevention, pricing, and campaign optimization; design and evaluate A/B tests; and analyze large-scale data for growth opportunities.

You'll work with data engineers to deploy models, communicate insights to technical and non-technical stakeholders, and contribute to AI-powered workflow automations. Proficiency in English is required; experience with GA4 is a plus.

Qualifications

• 3+ years of experience in Data Science or ML
• Strong foundation in statistics and ML
• Experience with recommendation systems, clustering, or time series forecasting
• Proficiency in Python (Pandas, Scikit-learn, PyTorch) and SQL
• Strong interest in emergent AI technologies including Generative AI and LLM-based applications
• Experience designing and analyzing A/B tests
• Ability to communicate complex findings clearly
• Growth-minded with GA4/event analytics experience

Responsibilities

• Develop predictive models to support personalization, churn prevention, pricing, and campaign optimization initiatives
• Design, execute, and evaluate A/B tests and other controlled experiments
• Analyze large-scale datasets to identify user behavior patterns, growth opportunities, and operational efficiencies
• Communicate insights and recommendations effectively to both technical and non-technical stakeholders
• Collaborate with data engineers to deploy and integrate models into production environments
• Monitor, validate, and improve model performance
• Design and implement AI-powered workflow automations

Skills

Data science

Machine learning

Predictive modeling

A/B testing

Python

SQL

GA4 analytics

English proficiency

Communication skills

Time-series forecasting

Tools

Pandas

Scikit-learn

PyTorch

Job description

Avansas.com in Istanbul (Üsküdar) seeks a Data Scientist to build predictive models for personalization, churn prevention, pricing, and campaign optimization; design and evaluate A/B tests; and analyze large-scale data for growth opportunities.

You'll work with data engineers to deploy models, communicate insights to technical and non-technical stakeholders, and contribute to AI-powered workflow automations. Proficiency in English is required; experience with GA4 is a plus.