InPost Group

Senior Data Scientist

InPost Group

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇵🇱 Poland

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPandasPySparkPythonScikit-Learn

About the role

  • Partner with our product and business teams to understand their needs and translate them into data science solutions and actionable insights.
  • Lead the full lifecycle of data science initiatives and advise on solution design.
  • Develop and implement advanced data science solutions (including ML models, AI products and optimisation frameworks).
  • Collaborate closely with cross-functional teams to ensure the seamless integration of data-driven initiatives.
  • Stay ahead of the curve by exploring cutting-edge methods and keeping up to date with new trends in data science and AI.
  • Communicate insights and recommendations to management, business teams and other members of the data community.

Requirements

  • Minimum of 3 years experience as a Data Scientist applying data science methods at scale.
  • Excellent knowledge of ML solutions and their impact on business, user experience and operational processes
  • Proficiency in Python and ML/data analysis libraries (Pandas, Polars, PySpark, Scikit-learn)
  • Experience in building models used in production by a large number of users and hands-on experience with large data sets.
  • Experience and knowledge of relational databases and cloud solutions (e.g. Databricks, Azure, GCP, AWS, Snowflake).
  • Proficiency in code testing and best practices for writing readable code.
  • Knowledge of ML Ops and experience with data pipeline frameworks such as Kedro.
  • Very good command of English, both spoken and written (B2+ level).
Benefits
  • Opportunity to work in a diverse, international, and cross-functional environment
  • Work and learn from a senior leader and their leadership team
  • Fulfilling careers with a range of benefits for employees
  • Investing in providing training opportunities for their development
  • Excellent working environment and flexible hours

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencemachine learningAI productsdata analysisPythonPandasPolarsPySparkScikit-learnML Ops
Soft skills
communicationcollaborationproblem-solvingleadershipadaptability