(Senior) Data Scientist (m/f/n)

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:

• 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.

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