Senior Data Scientist - Operations (Remote)
About the Role
InPost is seeking a talented and passionate Senior Data Scientist - Operations (Remote) to join our dynamic teams. As a Senior Data Scientist, 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.
What You'll Do
- Partner with our Product and Business Teams to understand their needs, translating them into data science solutions and providing actionable insights.
- Develop and implement advanced data science solutions, including machine learning models, AI products, and optimization frameworks.
- Collaborate closely with cross-functional teams to ensure seamless integration of data-driven initiatives.
- Stay ahead of the curve by exploring cutting-edge methods and keeping up with new trends in Data Science & AI.
- Communicate insights and recommendations to management, business teams, and other data community members.
Requirements
- Bachelor’s, Master’s, or PhD degree in a relevant field such as data science, computer science, mathematics, statistics, econometrics, or physics.
- At least 3 years of experience working with data science methods.
- Strong technical and/or research background is a plus.
- Proficiency in English and Polish; knowledge of other languages is a plus.
- Excellent knowledge of ML solutions and their impact on business, user experience, and operational processes.
- Hands-on experience working with large amounts of data.
- Proficiency in Python 3 and ML/data analysis libraries (e.g., Pandas, Numpy, Scipy, Scikit-learn, TF/Pytorch).
- Experience with PySpark, relational databases, and cloud solutions (e.g., Databricks, Azure, GCP, AWS, Snowflake).
Nice to Have
- Proficiency in testing code and knowledge of best practices regarding code readability, technical reviews, and maintainability.
- Experience with ML Ops and data pipelines frameworks, preferably Kedro.
- Experience creating ML models used in production and knowledge of SRE principles.
- Experience with CLI tools: bash/zsh.
- Experience leveraging CI/CD pipelines in data-based products.
- Experience applying data science methods at scale or building models used in production by a large number of users.
- Previous work on open-source projects.
- Experience in a data-driven environment, designing, executing, and analyzing many experiments.
What We Offer
- Opportunity to work in a diverse, international, and cross-functional environment, alongside leading experts.
- Work and learn from a senior leader and their leadership team, expanding your experience in the e-commerce and logistics industries.
- Fulfilling careers with a range of benefits and training opportunities for your development.
- Be part of the InPost community that impacts sustainability, convenient deliveries, and the circular economy every day.
- Excellent working environment and flexible hours.
This Senior Data Scientist role at InPost offers a unique opportunity to work remotely while leveraging advanced data science techniques to drive operational excellence in logistics. The position promises a competitive salary and a chance to make a significant impact in the e-commerce sector.
Who Will Succeed Here
Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and scikit-learn for data manipulation and model building, ensuring efficient data analysis and machine learning integration.
Self-motivated and proactive in a remote work environment, demonstrating the ability to manage time effectively while collaborating across teams using tools like Slack and Zoom.
A problem-solving mindset with hands-on experience in using PySpark for big data processing, coupled with a solid understanding of cloud platforms like AWS, Azure, and GCP for deploying machine learning models.
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