Time since we first saw it
Day 58
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
Data Scientist – AWS
Warsaw, Poland
Live, first seen by us 58 days ago- Pay
- Pay not listed
- Work setting
Remote — work setting source
Practical Information Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal As our new Data Scientist - AWS, you will leverage data, machine learning, and Generative AI to solve complex business challenges and deliver actionable insights for our clients. You will design, develop, and optimize data science, analytics, and AI solutions on AWS, transforming business requirements into scalable models and intelligent applications. Working closely with clients and cross-functional teams, you will leverage modern AWS services and emerging technologies, including Amazon Bedrock, Large Language Models (LLMs), and Generative AI, to drive innovation and business value.
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
Valid Visa for
What you’ll work on
Full postingDevelop, train and optimize ML, predictive analytics and Generative AI solutions
Analyze and prepare data from multiple sources for AI use cases
Design, build and evaluate ML models and LLM-powered applications on AWS
Troubleshoot and improve model performance, data pipelines and AI applications
Translate business requirements into technical specs and estimate project effort
From the employer’s posting
Develop, train, and optimize machine learning, predictive analytics, and Generative AI solutions to address business challenges.
Analyze and prepare data from multiple sources, ensuring quality, reliability, and suitability for data science and AI use cases.
Design, build, and evaluate ML models, LLM-powered applications, and AI-driven workflows using AWS services and industry best practices.
Troubleshoot and improve model performance, data pipelines, and AI applications across cloud environments.
Translate business requirements into technical specifications, estimate project effort, and contribute to solution design and delivery planning.
Benefits in the posting
Full benefits wording- Our company benefits vary based on your location, but always include:
- Lifelong education: A variety of training and development opportunities
- Job Function
- Software & Cloud Accommodations
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 7, 202658 days ago
- Recorded sightings
- 127
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
SoftwareOne is hiring
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Redshift
- S3
- SageMaker
- Spark
- boto3
- NumPy
- pandas
Where the posting names them
What we need to see from you - Professional experience in data, AI, or cloud-focused role, such as Data Scientist, ML Engineer, Data Engineer, Python Developer, or Cloud Engineer - Strong programming and analytical skills, including Python (e.g., pandas, NumPy, boto3) and SQL, with experience working with large and complex datasets
- Professional experience in data, AI, or cloud-focused role, such as Data Scientist, ML Engineer, Data Engineer, Python Developer, or Cloud Engineer - Strong programming and analytical skills, including Python (e.g., pandas, NumPy, boto3) and SQL, with experience working with large and complex datasets - Hands-on experience with AWS data and AI services, including Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, and/or Amazon SageMaker
- Do you enjoy turning complex data into actionable insights and building AI-powered solutions that solve real business challenges? - Are you ready to leverage AWS, Machine Learning, and Generative AI to help organizations unlock the full potential of their data? - Interested in joining a leading global software and cloud solutions provider helping organizations accelerate innovation and digital transformation?
Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal As our new Data Scientist - AWS, you will leverage data, machine learning, and Generative AI to solve complex business challenges and deliver actionable insights for our clients. You will design, develop, and optimize data science, analytics, and AI solutions on AWS, transforming business requirements into scalable models and intelligent applications. Working closely with clients and cross-functional teams, you will leverage modern AWS services and emerging technologies, including Amazon Bedrock, Large Language Models (LLMs), and Generative AI, to drive innovation and business value. Key responsibilities
- Analyze and prepare data from multiple sources, ensuring quality, reliability, and suitability for data science and AI use cases. - Design, build, and evaluate ML models, LLM-powered applications, and AI-driven workflows using AWS services and industry best practices. - Analyze complex business and data challenges, translating them into effective data science and AI solutions.
- Strong programming and analytical skills, including Python (e.g., pandas, NumPy, boto3) and SQL, with experience working with large and complex datasets - Hands-on experience with AWS data and AI services, including Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, and/or Amazon SageMaker - Experience developing or applying machine learning, predictive analytics, statistical models, or AI-driven solutions to solve business problems
- Strong communication, presentation, and stakeholder management skills, with the ability to work directly with clients, explain analytical findings, and take ownership of deliverables - Curiosity and willingness to learn new technologies, with familiarity with AI Agents, RAG, LangChain, LlamaIndex, Apache Spark, and AWS certifications considered an advantage What we offer
Your next step
Complete your application on careers-softwareone.icims.com. The employer’s form will show what is required.
Applying through iCIMS
- You start with your email. New applicants then create a login, and returning ones sign in.
- Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
- Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Why SoftwareOne?
The role
What we need to see from you
Job Function
Software & Cloud
Accommodations
SoftwareOne is a global software and cloud solutions provider and distributor, powered by around 12,000 people across more than 70 countries. But what really makes us SoftwareOne is our people: curious minds, different perspectives, and talented teams working together to solve real challenges and create meaningful impact. Here, you’ll have the opportunity to grow, explore new possibilities, and build a career that’s uniquely yours, while helping shape what’s next in technology.
The role
- Do you enjoy turning complex data into actionable insights and building AI-powered solutions that solve real business challenges?
- Are you ready to leverage AWS, Machine Learning, and Generative AI to help organizations unlock the full potential of their data?
- Interested in joining a leading global software and cloud solutions provider helping organizations accelerate innovation and digital transformation?
Practical Information
Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal
As our new Data Scientist - AWS, you will leverage data, machine learning, and Generative AI to solve complex business challenges and deliver actionable insights for our clients. You will design, develop, and optimize data science, analytics, and AI solutions on AWS, transforming business requirements into scalable models and intelligent applications. Working closely with clients and cross-functional teams, you will leverage modern AWS services and emerging technologies, including Amazon Bedrock, Large Language Models (LLMs), and Generative AI, to drive innovation and business value.
Key responsibilities
- Develop, train, and optimize machine learning, predictive analytics, and Generative AI solutions to address business challenges.
- Analyze and prepare data from multiple sources, ensuring quality, reliability, and suitability for data science and AI use cases.
- Design, build, and evaluate ML models, LLM-powered applications, and AI-driven workflows using AWS services and industry best practices.
- Analyze complex business and data challenges, translating them into effective data science and AI solutions.
- Troubleshoot and improve model performance, data pipelines, and AI applications across cloud environments.
- Translate business requirements into technical specifications, estimate project effort, and contribute to solution design and delivery planning.
- Collaborate closely with clients and internal teams to present findings, communicate recommendations, and successfully deliver project objectives.
What we need to see from you
- Professional experience in data, AI, or cloud-focused role, such as Data Scientist, ML Engineer, Data Engineer, Python Developer, or Cloud Engineer
- Strong programming and analytical skills, including Python (e.g., pandas, NumPy, boto3) and SQL, with experience working with large and complex datasets
- Hands-on experience with AWS data and AI services, including Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, and/or Amazon SageMaker
- Experience developing or applying machine learning, predictive analytics, statistical models, or AI-driven solutions to solve business problems
- Strong interest or practical experience in Generative AI, including Amazon Bedrock, LLMs, prompt engineering, and cloud-based AI solutions
- Strong communication, presentation, and stakeholder management skills, with the ability to work directly with clients, explain analytical findings, and take ownership of deliverables
- Curiosity and willingness to learn new technologies, with familiarity with AI Agents, RAG, LangChain, LlamaIndex, Apache Spark, and AWS certifications considered an advantage
What we offer
Our company benefits vary based on your location, but always include:
- Global company culture: We defined our 6 core values through our company culture (https://www.softwareone.com/en/our-story/our-values)
- A mentor who supports your successful start and is at your side with advice and action
- President’s Club: Recognition awarded by leadership and your peers
- Flexible work: Do great work from anywhere but also visit local office to deliver excellence in team relationship
- Lifelong education: A variety of training and development opportunities
- Hire to Grow: We optimize our internal structures and feedback culture constantly to be your Employer of Choice, today and in future
Job Function
Software & Cloud
Accommodations
SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at reasonable.accommodations@softwareone.com.
Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR.
At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.
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
Practical Information Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal As our new Data Scientist - AWS, you will leverage data, machine learning, and Generative AI to solve complex business challenges and deliver actionable insights for our clients. You will design, develop, and optimize data science, analytics, and AI solutions on AWS, transforming business requirements into scalable models and intelligent applications. Working closely with clients and cross-functional teams, you will leverage modern AWS services and emerging technologies, including Amazon Bedrock, Large Language Models (LLMs), and Generative AI, to drive innovation and business value.
- Work authorization
Practical Information Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal As our new Data Scientist - AWS, you will leverage data, machine learning, and Generative AI to solve complex business challenges and deliver actionable insights for our clients. You will design, develop, and optimize data science, analytics, and AI solutions on AWS, transforming business requirements into scalable models and intelligent applications. Working closely with clients and cross-functional teams, you will leverage modern AWS services and emerging technologies, including Amazon Bedrock, Large Language Models (LLMs), and Generative AI, to drive innovation and business value.