Senior Data Scientist, Personalization & AI

InPost

Kraków

Hybrid

PLN 133,920 - 200,880

Full time

14 days+

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Benefits offered by this job

Innovative work environment
Professional development opportunities
Collaboration with cross-functional teams

Job summary

A leading technology firm in Poland is seeking an experienced Data Scientist to join its Data & AI team. You will leverage advanced analytical techniques and machine learning models to drive strategic decisions and optimize marketing strategies. The ideal candidate has at least 3 years of experience in data science, proficiency in Python, and strong communication skills. This role offers innovative challenges and opportunities for professional development in a collaborative environment.

Qualifications

  • At least 3 years of commercial experience as a Data Scientist.
  • Proficient in Polish and English; knowledge of other languages is a plus.
  • Skilled in understanding business needs and communicating insights.

Responsibilities

  • Partner with Product and Business Teams to provide actionable insights.
  • Develop and implement data science solutions to optimize marketing strategies.
  • Collaborate with cross-functional teams to ensure data-driven initiatives.
  • Stay updated with cutting-edge methods and trends in Data Science & AI.
  • Communicate insights and recommendations to the management.

Skills

Goal-oriented
Independent
Change management skills
Time management
Communication skills
Problem-solving

Education

Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Econometrics

Tools

Python 3
ML libraries (Pandas, Numpy, Scipy, Scikit-learn)
PySpark
Cloud solutions (Databricks, Azure, GCP, AWS, Snowflake)

Job description

A leading technology firm in Poland is seeking an experienced Data Scientist to join its Data & AI team. You will leverage advanced analytical techniques and machine learning models to drive strategic decisions and optimize marketing strategies. The ideal candidate has at least 3 years of experience in data science, proficiency in Python, and strong communication skills. This role offers innovative challenges and opportunities for professional development in a collaborative environment.
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