Senior Data Engineer

TL;DR

Senior Data Engineer (Data/ML): Build predictive models and derive insights for pricing initiatives with an accent on statistical and machine learning techniques for classification, regression, and disambiguation. Focus on improving user identity and attribution using NLP cleaning and typo correction, and on strengthening data consistency, cleanliness, and usability across the data team.

Location: Poland (CZ-Remote)

Company

Custom product engineering company supporting multinational organizations and scaling startups.

What you will do

• Build predictive models for classification, regression, and disambiguation; assess model performance and communicate results to stakeholders
• Derive insights from data to improve understanding of user identity and the journey from online to retail
• Mine and analyze prescription drug pricing and volume to drive optimization; refine attribution and identity using NLP cleaning and typo correction
• Support the marketing data science 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/machine learning
• Undergraduate degree in a quantitative field (hard sciences, engineering, operations research, etc.)
• Experience delivering impact through statistical analysis and predictive modeling (pricing, identity, and attribution knowledge preferred)
• Strong knowledge of databases such as RedShift, PostgreSQL, and Spark/EMR; familiarity with the Python computing stack
• Comfort with ambiguity and adapting to a high-change environment

Nice to have

• Prior exposure to the prescription/healthcare industry
• Advanced degree

Culture & Benefits

• Full remote working possibilities
• Company-paid medical insurance
• Tailored learning: internal events, Udemy access, language courses, and company-paid certifications
• Growth focus with large-scale projects and global impact
• Opportunities for internal mobility across diverse domains

Hiring process

• Submit an application to be considered for the role