Senior Data Scientist
Warsaw, Poland
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop and implement machine learning models to address complex business challenges.
Design and deploy end-to-end ML solutions, including data preprocessing, feature engineering, model development, and evaluation.
Work with large-scale datasets, performing data wrangling, transformation, and optimization.
From the employer’s posting
Main Responsibilities: Develop and implement machine learning models to address complex business challenges. Design and deploy end-to-end ML solutions, including data preprocessing, feature engineering, model development, and evaluation.
Develop and implement machine learning models to address complex business challenges. Design and deploy end-to-end ML solutions, including data preprocessing, feature engineering, model development, and evaluation. Work with large-scale datasets, performing data wrangling, transformation, and optimization.
Design and deploy end-to-end ML solutions, including data preprocessing, feature engineering, model development, and evaluation. Work with large-scale datasets, performing data wrangling, transformation, and optimization. Collaborate with cross-functional teams to integrate AI-driven solutions into business processes.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in Data Science, with a strong track record in applying ML techniques to real-world problems.
- Proficiency in Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistics, probability, and mathematical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and deploying ML solutions at scale.
- Excellent communication skills, with the ability to convey technical concepts to diverse audiences.
Qualification wording
5+ years of experience in Data Science, with a strong track record in applying ML techniques to real-world problems.
Proficiency in Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Solid understanding of statistics, probability, and mathematical modeling.
Experience with cloud platforms (AWS, Azure, GCP) and deploying ML solutions at scale.
Excellent communication skills, with the ability to convey technical concepts to diverse audiences.
Tools in this posting
- Python
- AWS
- Azure
- Google Cloud (GCP)
- TensorFlow
- scikit-learn
- PyTorch
Source — Tool mentions in context
- 5+ years of experience in Data Science, with a strong track record in applying ML techniques to real-world problems. - Proficiency in Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). - Solid understanding of statistics, probability, and mathematical modeling.
- Collaborate with cross-functional teams to integrate AI-driven solutions into business processes. - Utilize cloud platforms (AWS, Azure, GCP) and MLOps practices for scalable model deployment. - Communicate technical findings and insights effectively to non-technical stakeholders.
- Solid understanding of statistics, probability, and mathematical modeling. - Experience with cloud platforms (AWS, Azure, GCP) and deploying ML solutions at scale. - Strong problem-solving and analytical skills, with the ability to create innovative AI solutions.
Benefits in the posting
Full benefits wording- Medical care
From the employer’s posting.
Job description
Main Responsibilities:
- Develop and implement machine learning models to address complex business challenges.
- Design and deploy end-to-end ML solutions, including data preprocessing, feature engineering, model development, and evaluation.
- Work with large-scale datasets, performing data wrangling, transformation, and optimization.
- Collaborate with cross-functional teams to integrate AI-driven solutions into business processes.
- Utilize cloud platforms (AWS, Azure, GCP) and MLOps practices for scalable model deployment.
- Communicate technical findings and insights effectively to non-technical stakeholders.
- Stay updated on advancements in AI, machine learning, and data science to drive innovation.
Requirements
Benefits
- Solid, competitive salary.
- Work in multilingual, multinational and multicultural environment on international projects
- Medical care
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on madiffpl.zohorecruit.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw, Poland
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 3, 2026
- Recorded sightings
- 159
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.