Kraków, małopolskie, Poland
May 30, 2022
Apply NowJob description
YOU ARE GOING TO:
- Work with us at the forefront of the digital revolution contributing your creativity, innovativeness, critical thinking and numeric skills to help us shape the global digital landscape.
- Use machine learning and cloud technologies to improve Client businesses by enabling data science capabilities at scale.
- Work in interdisciplinary teams that gather technical, business, cloud and data science competencies that deliver work in agile methodologies (at client localisation, remotely or mixed).
- The range of your accountability, responsibility and autonomy will depend on your experience and seniority - we are looking for specialists with various experience levels.
- Have minimum Bachelor's degree in discipline like Informatics, Physics, Mathematics, Quantitative Methods and are continuously looking forward to using your knowledge to solve complex business problems.
- Have at least 1-2 years of practical experience within industry or consulting in applying data-driven approaches to a variety of business scenarios, including creation and use of advanced analytics / Machine Learning algorithms. Retail or FMCG experience will be an asset.
- Are proficient in at least one of programming and query languages like Python, PySpark, SQL.
- Understand various Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimization, NLP.
- Have an unstoppable thirst for knowledge and are comfortable with ongoing skills development whether it comes to learning completely new technology or mastering relevant ML algorithm.
- Understand that Data Engineering is one of the key components of successful delivery in Analytics and are capable of working at any step of analytical model development.
- Have experience or interest in delivering analytical projects with top Cloud platforms such as GCP, Azure, AWS. Experience with Databricks, BigQuery or AirFlow will be an asset.
- You understand ML model lifecycle. Practical experience with containerization tools such as Docker, Kubernetes and model lineage tools such as MLflow would be an asset.
- Have a very good command of English language (it is nice to have command of additional language, for instance, German).
- Are a great team player (it is nice to have experience in working in international teams).
