Time since we first saw it
Day 155
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,000 similar postings that came down. Coming down is not always a hire.
Poland · Ukraine · Georgia · Poland
Open 5 months, first seen by us 155 days agoLocation type: RemoteFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Future Opportunities - DataFrom the employer’s posting
Deliver end-to-end data science projects, from data exploration through deployment and performance tracking
Translate business stakeholder opportunities into measurable data-driven solutions
Present complex analytical findings clearly to technical and non-technical audiences
Support presales by preparing ML solution concepts and estimating project scope and value
Help shape the Data Science practice and support recruitment
Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking.
Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions.
Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences.
Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value.
Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives.
Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing).
Hands-on experience with deep learning, computer vision, or generative AI projects.
Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation.
Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
Experience with data visualization or BI tools for communicating insights.
Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 155
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,000 similar postings that came down. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation. - Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). - Experience leading or mentoring analytics teams and coordinating with business stakeholders.
- Hands-on experience with deep learning, computer vision, or generative AI projects. - Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. - Experience with data visualization or BI tools for communicating insights.
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Already applied? Track this application
Yes. We’ve followed one other Senior Data Scientist job there since June 2026. It is still up.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
What you will do
Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking.
Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions.
Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences.
Contribute to analytical planning and ensure alignment with overall business objectives.
Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value.
Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives.
What you bring
Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing).
Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation.
Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
Experience leading or mentoring analytics teams and coordinating with business stakeholders.
Excellent communication skills, able to translate between technical and business perspectives effectively.
Solid understanding of business processes and data structures.
Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value.
Fluency in English for meetings with international clients.
Nice to have
Hands-on experience with deep learning, computer vision, or generative AI projects.
Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
Experience with data visualization or BI tools for communicating insights.
When you join Solvd, you'll…
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
Be part of a global team with equal opportunities for collaboration across continents and cultures.
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
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Poland
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