Data Scientist @

2 days ago


Kraków, Lesser Poland, Czech Republic Philip Morris Polska Distribution Spółka z o.o. Full time
  • You have a master degree in Data Science, Computer Science, Statistics or a related field.
  • 3 + years of experience in a data science or related role.
  • Proficient in at least one of the following languages: Python, R, SAS or Julia.
  • Experience with big data technologies such as Sparks and a good grasp of machine learning framework such as TensorFlow or Pytorch.
  • Experience with data manipulation libraries such as Pandas, NumPy and Scikit-learn.
  • Experience with visualization tool to present findings such as Matplotlib, Seaborn or Plotly.
  • Knowledge of Natural Language Processing Techniques (NLP)
  • Ideal candidates will have a good grasp of GIT and hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) .
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements and translate technical complexities into business friendly language.
  • Experience working directly with remote technical teams
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 improve the lives of a billion smokers worldwide. 

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. 

Role overview:

You are highly driven to constantly innovate and drive positive change, but more importantly, you consistently deliver great results. As a Data Scientist you will apply advanced data science techniques to analyze data, build diagnostic, predictive and prescriptive analytics solutions, generate valuable insights from data and effectively leverage novel technologies to automate data science workflows. This role involves working with both structured and unstructured data, utilizing specialized programming languages and tools to drive effective decision-making and create business value. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building new system, delivering results and working on exciting and challenging projects.

WHAT WE OFFER YOU? 
  • Private medical and dental care, life insurance; 
  • Hybrid work opportunity and flexible working arrangements; 
  • Employee pension plan; 
  • Multisport program; 
  • Holiday, cultural & Christmas bonus; 
  • Wide range of trainings, optional language classes, further education and professional qualification support possibility; 
  • Free bike and car parking for all employees.
,[ Lead end-to-end analytics projects, from gathering business requirements and validating hypotheses to delivering outputs, visualizing data, and generating actionable insights that drive value. , Implement mechanisms to ensure data completeness, accuracy, and consistency across all data sources and processes. , Develop, train, and deploy machine learning models using tools such as SageMaker, ensuring they meet business needs and performance standards. Additionally, you will develop and select features to improve model accuracy and performance. , Use data mining, and statistical techniques to analyze customer data to identify trends, behaviors, and preferences, providing insights to improve customer experience and retention. , Maintain thorough documentation of data science processes, models, and experiments to ensure reproducibility and knowledge sharing. , Provide data-driven insights and recommendations to support strategic business decisions and initiatives while also identifying opportunities for process optimization and automation, striving for continuous improvement in data management practices. , Finally, you will actively anticipate and resolve potential data issues before they escalate, demonstrating a proactive approach to data.] Requirements: Degree, Data science, Python, R, SAS, Machine learning, TensorFlow, PyTorch, pandas, NumPy, scikit-learn, Matplotlib, Natural language processing, NLP, Git, Cloud platform, AWS, Azure, Google cloud platform Additionally: Private healthcare, Sport subscription, Language classes, Training budget, Bike parking, Free parking.
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