Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Engineer (AI/ML): Building predictive models and data pipelines to support pricing initiatives with an accent on statistical modeling and machine learning. Focus on analyzing prescription drug pricing, refining identity through NLP, and improving data consistency.
Location: Hybrid (Must be based in Slovakia)
Salary: from 3,300 EUR gross
Company
is a custom product engineering company that supports multinational organizations and scaling startups in solving complex business challenges.
What you will do
- Build predictive models using statistical and machine learning techniques for classification, regression, and disambiguation.
- Analyze prescription drug pricing and volume to drive product development and optimization.
- Refine user identity and attribution through NLP cleaning and typo correction techniques.
- Derive insights from data to improve the understanding of the user journey from online to retail.
- Support the marketing DS team with audience selection and generation.
- Partner with the data team to improve data consistency, cleanliness, and ease of use.
Requirements
- 3+ years of experience in data science and machine learning.
- Undergraduate degree in a quantitative field (hard sciences, engineering, operations research, etc.).
- Experience delivering impact through statistical analysis and predictive modeling.
- Strong knowledge of databases such as RedShift, PostgreSQL, and Spark/EMR.
- Proficiency with the Python computing stack.
- Must be based in Slovakia.
Nice to have
- Prior exposure to the prescription or healthcare industry.
- Advanced Degree.
Culture & Benefits
- Friendly, open-door culture that values initiative and empowers employees.
- Fast-paced agile environment focusing on efficiency and innovation.
- Global exposure through collaboration with international, cross-functional teams.
- Learning budget including internal events, Udemy access, and company-paid certifications.
- Flexible work arrangement balancing office and remote work.
- Extensive benefits package aligned with market standards.
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