(Senior) Data Scientist Operations (mfn)

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.

Qualifications :

General requirements:

• Education  Bachelors Masters 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.

Additional Information :

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

Remote Work :

Yes

Employment Type :

Full-time