Leverage advanced analytical techniques and machine learning models to improve logistics operations and elevate customer experience while collaborating with diverse teams.
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.
General requirements:
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Education – Bachelor’s, Master’s or PhD degree in a relevant field, e.g. data science, computer science, mathematics, statistics, econometrics, physics or similar.
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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:
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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.
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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.
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
