About The Position
InPost is seeking talented and passionate Data Scientists to join their dynamic teams. In this role, you will leverage advanced analytical techniques and machine learning models to extract actionable insights from complex data sets, driving strategic decision-making and operational excellence. You will collaborate closely with cross-functional teams to develop innovative solutions that enhance logistics operations, improve efficiency, and elevate the customer experience. Specialized knowledge in logistics, operations research, forecasting, graph methods, or product analytics is a plus.
Requirements
- Bachelor’s, Master’s or PhD degree in a relevant field, e.g. data science, computer science, mathematics, statistics, econometrics, physics or similar.
- At least 3 years of experience working using data science methods.
- Strong technical and/or research background is a plus.
- Data-driven, goal-oriented and proactive mindset, skilled in change and time management, business-conscious, able to think long-term and decompose business problems.
- 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).
Nice To Haves
- 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.
Responsibilities
- Partner with 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 management, business teams, and other data community members.
Benefits
- Opportunity to work in a diverse, international, and cross-functional environment, along with leading experts.
- Work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries.
- 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.
- Investing in providing training opportunities for their development.
- 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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What This Job Offers
Job Type
Full-time
Career Level
Senior
