Senior Data Scientist
Warsaw, Poland
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop and implement machine learning models for complex business challenges
Design and deploy end-to-end ML solutions, including feature engineering and evaluation
Wrangle, transform and optimize large-scale datasets
Integrate AI-driven solutions into business processes with cross-functional teams
Deploy scalable models on cloud platforms using MLOps practices
From the employer’s posting
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.
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
- GCP
- PyTorch
- scikit-learn
- TensorFlow
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.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026 · 149 days ago
- Recorded sightings
- 194
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on madiffpl.zohorecruit.com. The employer’s form will show what is required.
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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
Source details
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.
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