Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (AI): Developing advanced machine learning solutions and prototypes for decisioning and fraud detection products with an accent on Gen AI, predictive modeling, and cloud-native architecture. Focus on leading client engagements, integrating large-scale data assets on AWS, and translating complex technical outcomes into strategic product insights.
Location: Must be based in or able to commute to Sofia (Hybrid)
Company
is a global data and technology company that empowers individuals and businesses by leveraging unique combinations of analytics, data, and software to redefine lending and decision-making.
What you will do
- Develop advanced ML models and prototypes using Python and cloud-native big data platforms.
- Integrate LLMs and Gen AI tools to drive product innovation and solve complex algorithm challenges.
- Collaborate with Engineering and Product teams to translate data insights into actionable market solutions.
- Analyze diverse structured and unstructured datasets to identify patterns and model performance metrics.
- Lead internal and client-facing analytical engagements throughout the product lifecycle.
- Document findings and present complex technical results to stakeholders and the broader analytical community.
Requirements
- Fluent English (written and spoken) required.
- Advanced degree in Machine Learning, Data Science, AI, or Computer Science.
- 4+ years of professional experience in data science or predictive modeling.
- Proficiency in Python and statistical modeling best practices.
- Experience with Spark (pySpark) and large-scale data analysis.
- Hands-on experience with LLMs, Generative AI, and deep learning tools (PyTorch, TensorFlow).
Culture & Benefits
- Comprehensive social benefit package including life and additional health insurance.
- Flexible working hours and hybrid home office policy.
- Career development programs with unlimited access to online training and learning materials.
- 25 days of paid vacation plus additional leave for birthdays and social responsibility events.
- Employee assistance program, corporate discounts, and Multisport card.
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