Senior Data Scientist – Operations

Job not on LinkedIn

🕒 May 14

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 57%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InPost Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🛍️ eCommerce

🚗 Transport

📦 Logistics

eCommerce • Transport • Logistics

InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.

📋 Description

• Partner with Product and Business Teams to understand needs and provide actionable insights • Develop and implement advanced data science solutions • Collaborate with cross-functional teams to ensure seamless integration • Explore cutting-edge methods and trends in Data Science & AI • Communicate insights and recommendations to management and teams

🎯 Requirements

• Bachelor’s, Master’s or PhD degree in a relevant field • At least 3 years of experience working using data science methods • Proficient in English and Polish (other languages knowledge is a plus) • Excellent knowledge of ML solutions and their impact on business • Proficiency in Python 3 and ML/data analysis libraries • Knowledge and experience in PySpark, relational databases, cloud solutions • Experience applying data science methods at scale or building models used in production

🏖️ Benefits

• Opportunity to work in a diverse, international, and cross-functional environment • Opportunity to learn from a senior leader and their leadership team • Providing training opportunities for development • Flexible hours

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