- Collect, clean, and preprocess data from diverse sources.
- Perform statistical analysis and create predictive models to support decision-making.
- Build, maintain, and improve end-to-end machine learning pipelines and solutions that deliver insights at scale from both structured and unstructured data.
- Develop and implement machine learning algorithms to solve complex problems.
- Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
- Communicate complex data findings and insights in a clear and effective manner to stakeholders.
- Stay up to date with the latest technologies, trends, and methodologies in data science and machine learning.
- Have passion for innovation and discovering new insights into analytics leveraging advanced machine learning and Natural Language Processing (NLP) techniques.
- Be a self-directed learner in the ever-advancing space of machine learning, deep learning, and text analytics.
- Serve as a subject matter expert on advanced analytics, partnering with other teams to apply and leverage this skillset to guide data-driven decision making.
- Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Scientist or in a similar role.
- Strong knowledge of statistical analysis, machine learning algorithms, and modeling techniques.
- Proficiency in programming languages such as Python or R.
- Experience with data visualization tools (e.g., Power BI).
- Familiarity with big data technologies (Spark, Databricks).
- Excellent problem-solving skills and critical thinking ability.
- Strong communication and collaboration skills.
- Proficiency in ML tools & frameworks such as Jupyter notebook, Scikit-Learn, Azure, AI/ML/Cognitive Service, Spark, TensorFlow, PyTorch, etc
- Experience in an Agile development environment.
- Work in a people-oriented team with dynamic and inspiring colleagues and leaders
- Development and growth opportunities including courses and certifications (e.g., Microsoft technologies)
- Attractive salary and benefits package (private medical care for you and your family, life insurance, access to MyBenefit platform, etc.)
- Lunch card
- Flexible working hours, you can start between 7:30 and 9:30 am
- Hybrid work with 2-3 times a week at our office on Przybyszewskiego 56, Kraków
- No formal dress-code
- Annual integration events
- Employee volunteering opportunities and interesting CSR projects
- Relocation support if needed
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Data Scientist - Krakow, Polska - Alfa Laval
Opis
We are seeking a highly skilled and passionate Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning. In this role, you will analyze complex data sets to identify trends, develop predictive models, and provide actionable insights that will inform decision-making and strategy across the organization.
Responsibilities:
What we require:
What we offer:
We care about diversity, inclusion and equity in our recruitment processes. We also believe behavioral traits can provide important insights into a candidate's fit to a role. To help us achieve this we apply Pymetrics assessments, and upon application you will be invited to play the assessment games.
For further information please contact: Olena Mykytsey, Talent Acquisition Partner at
We review applications continually so please submit your application as soon as possible. Please note that we do not accept applications sent via email.
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