Data Scientist

3 tygodni temu

Kraków, Lesser Poland Philip Morris Polska Distribution Spółka z o.o. Pełny etat
MAKE HISTORY WITH US

At PMI, we've chosen to do something incredible. We're totally transforming our business, and building our future on smoke-free products with the power to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you'll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

WHAT WE OFFER YOU?

- Wide range of trainings, optional language classes, further education and professional qualification support possibility
- Private medical and dental care, life insurance
- Subsidized meals (Sodexo card)
- Mybenefit Cafeteria
- Hybrid work opportunity and flexible working arrangements
- Employee pension plan
- Free bike and car parking for all employees

Please note that only on-line applications will be taken into consideration.

Only selected candidates will be contacted.

JOIN US

BASIC QUALIFICATION

- Academic Background in Statistics, Econometrics, Data Science, Psychology, Sociology, or a related field
- Entry level to 2 years of experience in analytics tools & technologies or processes
- English / German (Business communication proficiency)
- Proven experience in applying advanced statistical methods to real-world survey or behavioral data
- Proficiency in at least one statistical programming languages like R, Python, SAS, Julia
- Experience with libraries NLTK, SPacy, scikit-learn, Stringr or Spacyr
- Excellent problem-solving skills and ability to translate data into actionable insights.

PREFERRED QUALIFICATION ( also project depended)

- Expertise in handling and analyzing large datasets, including experience with data cleaning, transformation, and validation
- Knowledge of Natural Language Processing framework, language processing, and pattern analysis
- Knowledge of multivariate statistical techniques such as regression, factor analysis, cluster analysis, and structural equation modeling
- Familiarity with machine learning techniques and their application to consumer data and sentiment detection is a plus
- Knowledge of data visualization tools (e.g., Tableau, Power BI)

MAKE HISTORY WITH US

At PMI, we've chosen to do something incredible. We're totally transforming our business, and building our future on smoke-free products with the power to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you'll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

WHAT WE OFFER YOU?

- Wide range of trainings, optional language classes, further education and professional qualification support possibility
- Private medical and dental care, life insurance
- Subsidized meals (Sodexo card)
- Mybenefit Cafeteria
- Hybrid work opportunity and flexible working arrangements
- Employee pension plan
- Free bike and car parking for all employees

Please note that only on-line applications will be taken into consideration.

Only selected candidates will be contacted.

JOIN US

,[ Run E2E analytics projects from gathering business needs to validating hypothesis to output delivery, data visualization and generating value by providing data analysis-to-actionable insights , Understand complex and diverse technology infrastructure and identify sources and tools needed , Develop logical and conceptual data flows that are in support of project requirements and advise appropriate and effective use of data , Communicate and present technical information to non-technical stakeholders , Provide orientation and training to end users , Provide commercial perspective & guidance to junior staff members working on individual use cases , Project & stakeholder management activities, maintaining documentation to support line manager and update stakeholders on project status & risks] Requirements: Statistical methods, R, Python, SAS, spaCy, scikit-learn, Natural language processing, Machine learning, Data visualization, Tableau, BI Additionally: Private healthcare, Sport subscription, Language classes, Training budget, Bike parking, Free parking.

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