AI Developer
Indexed description
Key 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 closely with data engineers to deploy and integrate models into production environments
- Monitor, validate, and continuously improve model performance using appropriate evaluation techniques
- Design and implement AI-powered workflow automations to improve operational efficiency and business processes
What We're Looking For
- 3+ years of experience in Data Science, Machine Learning or a related field
- Strong foundation in statistics, machine learning, and predictive modeling techniques
- Experience with recommendation systems, clustering, or time series forecasting
- Proficiency in Python (Pandas, Scikit-learn, PyTorch, etc.) and SQL
- Strong interest in emerging AI technologies, including Generative AI, Agentic AI, and LLM-based applications
- Experience designing and analyzing A/B tests and experimentation frameworks
- Ability to communicate complex analytical findings in a clear and actionable manner
- Product and growth-oriented mindset with experience analyzing GA4 and event-based product analytics data to generate actionable business insights
- Experience building or contributing to AI-powered solutions and workflow automations is a strong plus
- Familiarity with RAG (Retrieval-Augmented Generation) architectures is a plus
- Professional working proficiency in English
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