Senior Data Scientist – Operations

Job not on LinkedIn

🕒 February 4

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 58%

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 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.

🎯 Requirements

• Education – Bachelor’s, Master’s or PhD degree in a relevant field, e.g. data science, computer science, mathematics, statistics, econometrics, physics or similar. • Experience – at least 3 years of experience working using data science methods. • Strong technical and/or research background is a plus. • Mindset – you are data-driven, goal-oriented and proactive, skilled in change and time management, business-conscious, able to think long-term and decompose business problems. • Languages – you are proficient in English and Polish (other languages knowledge is a plus). • Excellent knowledge of ML solutions and their impact on business, user experience and operational processes (supervised and unsupervised learning, e.g.: clustering, recommender systems, regression, classification, linear programming, reinforcement learning, time series, geospatial analysis, etc.). • Hands-on experience with working with large amounts of data. • Proficiency in Python 3, as well as ML and data analysis libraries (e.g. Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, TF/Pytorch, etc.). • Experience in writing well-structured code: functions, classes, modules. • Knowledge and experience in PySpark, relational databases, cloud solutions (e.g. Databricks, Azure, GCP, AWS, Snowflake).

🏖️ Benefits

• Opportunity to work in a diverse, international, and cross-functional environment, along with leading experts. • You work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries. • InPost is a growing company that offers its employees an increasing number of opportunities in several locations in Europe. • Fulfilling careers with a range of benefits for employees and investing in providing training opportunities for their development. • You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day. • Excellent working environment and flexible hours

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