(Senior) Data Scientist

InPost; Województwo małopolskie; On-site; PLN 180,000 - 240,000; Full time

Job summary

A leading logistics company in Poland is seeking a talented Data Scientist to enhance its operations through advanced analytics and machine learning. In this role, you will collaborate with cross-functional teams to provide actionable insights that drive efficiency and improve the customer experience.

Qualifications

• Experience in leveraging machine learning models and advanced analytics.
• Ability to translate business requirements into data science solutions.
• Strong communication skills for presenting insights to stakeholders.

Responsibilities

• Develop and implement advanced data science solutions including ML models.
• Collaborate with teams to ensure integration of data-driven initiatives.
• Communicate insights to management and operational teams.

Skills

Machine Learning

Analytical Techniques

Data-Driven Decision Making

Collaboration

Innovation

Job description

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Client:

InPost

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Other

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EU work permit required:

Yes

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Job Reference:

ba3f444b3b7a

Job Views:

3

Posted:

01.06.2025

Expiry Date:

16.07.2025

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Job Description:

Role overview

We are seeking a talented and passionate Data Scientist to join our dynamic team. In this role, you will leverage advanced analytical techniques and machine learning models to extract actionable insights from our complex data sets, driving strategic decision-making and operational excellence. You will collaborate closely with cross-functional teams to develop innovative solutions that enhance our logistics operations, improve efficiency, and elevate the customer experience.

Key responsibilities

• Partner with our product and business teams to understand their needs, translate them into data science solutions, and provide actionable insights
• Develop and implement advanced data science solutions (including ML models, AI products, optimization frameworks etc.)
• Collaborate closely with cross-functional teams to ensure seamless integration of data-driven initiatives
• Stay ahead of the curve exploring cutting-edge methods and being on top of new trends in Data Science & AI
• Communicate insights and recommendations to the management and business teams, and other data community members