(Senior) Data Scientist - Operations (m/f/n) at InPost Ireland

Krakow, Lesser Poland Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

11 Aug, 26

Salary

0.0

Posted On

13 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python 3, PySpark, Data Analysis, Optimization Frameworks, Relational Databases, Cloud Solutions, ML Ops, CI/CD Pipelines, Time Series Analysis, Geospatial Analysis, Linear Programming, Reinforcement Learning, Clustering, Regression, Classification

Industry

Logistics;Transportation;Supply Chain and Storage

Description

Company Description InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option. We are seeking talented and passionate Data Scientists to join our dynamic teams. 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. If you have specialized knowledge in some of these areas: logistics, operation research, forecasting, graph methods, product analytics - we would very much like to meet you! :) Job Description On a daily basis you will: 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. Qualifications General 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). Technical requirements: 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). Nice to have: Proficiency in testing your code. Knowledge of best practices regarding writing readable code, technical reviews and maintainability. Knowledge of ML Ops and experience with data pipelines framework, preferably Kedro. Experience of creating ML models used in production, knowledge of SRE principles. Experience with CLI tools: bash/zsh. Experience in leveraging CI/CD pipelines in data-based products. Experience applying data science methods at scale or building models used in production by large number of users. Previous work on open-source projects. Experience in working in a data-driven environment, designing, executing and analysing many experiments. Additional Information Why join InPost? 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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Responsibilities

Develop and implement advanced data science solutions, including ML models and optimization frameworks, to enhance logistics operations. Partner with product and business teams to translate needs into actionable insights and data-driven initiatives.