(Senior) Data Scientist, Operations

Stack

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 (ML models, AI products, optimization frameworks)
• ▹Collaborate closely with cross-functional teams to integrate data-driven initiatives
• ▹Explore cutting-edge methods and stay on top of new trends in Data Science and AI
• ▹Communicate insights and recommendations to management, business teams and other members of the data community

Requirements

• ▹Bachelor's, Master's or PhD degree in a relevant field (data science, computer science, mathematics, statistics, econometrics, physics or similar)
• ▹At least 3 years of experience working with data science methods
• ▹Proficiency in English and Polish
• ▹Excellent knowledge of ML solutions and their impact on business (supervised and unsupervised learning, clustering, recommender systems, regression, classification, linear programming, reinforcement learning, time series, geospatial analysis)
• ▹Hands-on experience with large amounts of data
• ▹Proficiency in Python 3 and ML and data analysis libraries (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, TF/Pytorch)
• ▹Experience writing well-structured code: functions, classes, modules
• ▹Knowledge and experience in PySpark, relational databases and cloud solutions (Databricks, Azure, GCP, AWS, Snowflake)

Nice to have

• ▹Testing your code
• ▹Best practices for readable code, technical reviews and maintainability
• ▹ML Ops and data pipeline frameworks, preferably Kedro
• ▹Experience creating ML models used in production, knowledge of SRE principles
• ▹CLI tools: bash/zsh
• ▹Leveraging CI/CD pipelines in data-based products
• ▹Applying data science methods at scale
• ▹Previous work on open-source projects
• ▹Experience in a data-driven environment, designing, executing and analysing experiments
• ▹Knowledge of other languages

Soft skills

What we offer

• ▹Diverse, international, cross-functional environment with leading experts
• ▹Exposure to e-commerce and logistics alongside a senior leader and their leadership team
• ▹A growing number of opportunities in several locations in Europe
• ▹Training opportunities
• ▹Flexible hours

About the company

InPost revolutionised e-commerce parcel delivery in Poland and is now one of Europe's leading out-of-home delivery platforms, with almost 47,000 parcel lockers and almost 35,000 pick-up points in nine countries.