(Senior) Data Scientist - Operations (m/f/n)

InPost is a leading European e-commerce enablement platform revolutionizing parcel delivery through an extensive network of automated machines and logistics services. We are seeking a talented and passionate (Senior) Data Scientist to join our dynamic team and drive operational excellence through advanced analytics and machine learning.

Key responsibilities

• Partner with product and business teams to translate complex needs into actionable data science solutions.
• Develop and implement advanced machine learning models, AI products, and optimization frameworks.
• Collaborate with cross-functional teams to ensure the seamless integration of data-driven initiatives.
• Communicate insights and strategic recommendations to management and the broader data community.
• Stay at the forefront of the industry by exploring cutting-edge methods and emerging trends in AI.

Requirements

• Bachelor’s, Master’s, or PhD degree in a quantitative field such as data science, computer science, mathematics, or statistics.
• At least 3 years of professional experience applying data science methods in a business environment.
• Proficiency in Python 3 and essential data analysis libraries like Pandas, NumPy, Scikit-learn, and PyTorch or TensorFlow.
• Strong technical background with experience in PySpark, relational databases, and cloud platforms like Azure, GCP, or AWS.
• Excellent understanding of machine learning solutions, including clustering, regression, time series, and geospatial analysis.

What we offer

• Opportunity to work in a diverse, international, and cross-functional environment alongside industry experts.
• Exposure to large-scale e-commerce and logistics challenges that make a real-world impact.
• Access to professional development, training opportunities, and a clear path for career growth.
• A supportive community focused on sustainability, innovation, and convenient delivery solutions.