Job description
Position overview
Position overviewMust have: Classical ML, Python, SQL, VisualisationMust have:
Must have:Classical ML, Python, SQL, VisualisationEmployment type: B2BEmployment type:
Employment type:B2BOperating mode: RemoteOperating mode:
Operating mode:RemoteLocation: PolandLocation:
Location:PolandAbout deepsense.ai At deepsense.ai, we won’t just build AI solutions – we’ll shape how companies around the world use them. By joining us, you’ll: Work with partners like OpenAI, NVIDIA, Anyscale, LangChain, Crusoe, and ElevenLabs. Explore and apply the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics. Tackle challenges in software & tech, pharma & healthcare, manufacturing, retail, telecoms & media. Contribute to open-source projects – just take a look at our latest solution, ragbits, an agentic RAG framework with over 1.6k stars on GitHub. And the best part of working at deepsense.ai? Spread your wings with clear career paths, technical or leadership. Collaborate with 100+ AI experts with 15+ years of applied AI experience, as well as PhD-level researchers with academic backgrounds. Tap into domain expertise and knowledge sharing whenever you need it. Your Role as Data Scientist What makes this role stand out: You’re closest to the data and analytics from exploration and cleaning, through modeling, to generating business insights. Your tools include classical and non-linear ML models (regression, XGBoost, LightGBM, CatBoost) and libraries such as pandas and scikit-learn. You create analyses and visualizations that directly support business decisions. Why it’s worth it: You have a real impact on client strategies and decisions, your models and analyses don’t end up in a drawer. Projects are diverse from EDA and feature engineering, to predictive modeling, time-series analysis, data visualization, and dashboard development. You get room to grow, whether into deeper data analytics and business consulting, or towards AI engineering (working closely with MLEs and SEs). A few project examples: Training multimodal LLMs for drug discovery. Building AI voicebots that double conversion rates. Creating a GenAI solution for a leading US legal company together with the OpenAI team. Running GenAI on edge devices with cloud-level performance. All of this in a setup that feels like an AI-driven software house: remote-first, flexible, and packed with specialists who are open to sharing knowledge and experimenting with the newest tech. The ideal candidate: Hss a minimum of 4 years of experience in Data Science, delivering end-to-end, data-driven solutions. Is proficient in classical ML techniques (linear regression, feature selection methods, predictive modeling, time series) as well as non-linear methods (gradient boosting, random forest, XGBoost, LightGBM, CatBoost). Programs fluently in Python and uses libraries such as NumPy, pandas, scikit-learn. Can effectively manage and analyze data using SQL. Creates clear and engaging visualizations (matplotlib, seaborn, plotly). Can translate data into actionable business insights and recommendations. Stands out with strong communication skills and the ability to explain complex concepts in a simple way. Bonus points for experience in data engineering and cloud platforms (AWS, GCP, Azure), as well as knowledge of dashboarding tools (Tableau, Power BI, Dash) and experience in NLP or leveraging LLMs/Generative AI. We Offer Impactful AI projects Tackle industry-grade challenges: from LLMs for drug discovery to GenAI on edge devices, AI voicebots, and open-source initiatives with global reach. Collaborate directly with our partners for early access to tools before public release, testing in production, and bringing know-how from AI leaders into our projects. Contribute to open-source initiatives like ragbits (1.6k+ stars on GitHub), adopted and appreciated by the ML community. Growth & Knowledge Sharing Join AI specialists who share expertise through Tech Talks, workshops, and internal trainings. Present your work at conferences, run experiments, and stay ahead of the curve. Choose your own career path and get support for your development. Flexibility & Culture Work fully remote, from one of our two offices (Warsaw, Bydgoszcz), or from coworking spaces in Poznań, Łódź, Wrocław, and Gdańsk. Enjoy flexible working hours. Benefit from a culture that prevents burnout and supports balance in daily work. Start with onboarding – from day one you are matched with a buddy. Get high-end equipment (laptops, dual monitors, pro peripherals). Access a premium AI development suite: OpenAI ChatGPT, Claude, Gemini Advanced, GitHub Copilot, Cursor AI IDE, Claude Code, NotebookLM, plus the latest emerging AI tools to support your daily work. Work in agile teams with fast decision-making and space to try out your ideas. Basic Benefits Get private medical care and a Multisport card. Use our company library, attend onsite English lessons, and benefit from a dedicated training budget. Join free team lunches and enjoy fresh fruit & snacks. Take part in team-building activities and holiday celebrations.About deepsense.ai
At deepsense.ai, we won’t just build AI solutions – we’ll shape how companies around the world use them.
By joining us, you’ll:
By joining us, you’ll:- Work with partners like OpenAI, NVIDIA, Anyscale, LangChain, Crusoe, and ElevenLabs.
- Explore and apply the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics.
- Tackle challenges in software & tech, pharma & healthcare, manufacturing, retail, telecoms & media.
- Contribute to open-source projects – just take a look at our latest solution, ragbits, an agentic RAG framework with over 1.6k stars on GitHub.
And the best part of working at deepsense.ai?
And the best part of working at deepsense.ai?- Spread your wings with clear career paths, technical or leadership.
- Collaborate with 100+ AI experts with 15+ years of applied AI experience, as well as PhD-level researchers with academic backgrounds.
- Tap into domain expertise and knowledge sharing whenever you need it.
Your Role as Data Scientist
Your Role as Data ScientistWhat makes this role stand out:
What makes this role stand out:- You’re closest to the data and analytics from exploration and cleaning, through modeling, to generating business insights.
- Your tools include classical and non-linear ML models (regression, XGBoost, LightGBM, CatBoost) and libraries such as pandas and scikit-learn.
- You create analyses and visualizations that directly support business decisions.
Why it’s worth it:
Why it’s worth it:- You have a real impact on client strategies and decisions, your models and analyses don’t end up in a drawer.
- Projects are diverse from EDA and feature engineering, to predictive modeling, time-series analysis, data visualization, and dashboard development.
- You get room to grow, whether into deeper data analytics and business consulting, or towards AI engineering (working closely with MLEs and SEs).
A few project examples:
A few project examples:- Training multimodal LLMs for drug discovery.
- Building AI voicebots that double conversion rates.
- Creating a GenAI solution for a leading US legal company together with the OpenAI team.
- Running GenAI on edge devices with cloud-level performance.
All of this in a setup that feels like an AI-driven software house: remote-first, flexible, and packed with specialists who are open to sharing knowledge and experimenting with the newest tech.
The ideal candidate:
The ideal candidate:- Hss a minimum of 4 years of experience in Data Science, delivering end-to-end, data-driven solutions.
- Is proficient in classical ML techniques (linear regression, feature selection methods, predictive modeling, time series) as well as non-linear methods (gradient boosting, random forest, XGBoost, LightGBM, CatBoost).
- Programs fluently in Python and uses libraries such as NumPy, pandas, scikit-learn.
- Can effectively manage and analyze data using SQL.
- Creates clear and engaging visualizations (matplotlib, seaborn, plotly).
- Can translate data into actionable business insights and recommendations.
- Stands out with strong communication skills and the ability to explain complex concepts in a simple way.
- Bonus points for experience in data engineering and cloud platforms (AWS, GCP, Azure), as well as knowledge of dashboarding tools (Tableau, Power BI, Dash) and experience in NLP or leveraging LLMs/Generative AI.
We Offer
We OfferImpactful AI projects
Impactful AI projects- Tackle industry-grade challenges: from LLMs for drug discovery to GenAI on edge devices, AI voicebots, and open-source initiatives with global reach.
- Collaborate directly with our partners for early access to tools before public release, testing in production, and bringing know-how from AI leaders into our projects.
- Contribute to open-source initiatives like ragbits (1.6k+ stars on GitHub), adopted and appreciated by the ML community.
Growth & Knowledge Sharing
Growth & Knowledge Sharing- Join AI specialists who share expertise through Tech Talks, workshops, and internal trainings.
- Present your work at conferences, run experiments, and stay ahead of the curve.
- Choose your own career path and get support for your development.
Flexibility & Culture
Flexibility & Culture- Work fully remote, from one of our two offices (Warsaw, Bydgoszcz), or from coworking spaces in Poznań, Łódź, Wrocław, and Gdańsk.
- Enjoy flexible working hours.
- Benefit from a culture that prevents burnout and supports balance in daily work.
- Start with onboarding – from day one you are matched with a buddy.
- Get high-end equipment (laptops, dual monitors, pro peripherals).
- Access a premium AI development suite: OpenAI ChatGPT, Claude, Gemini Advanced, GitHub Copilot, Cursor AI IDE, Claude Code, NotebookLM, plus the latest emerging AI tools to support your daily work.
- Work in agile teams with fast decision-making and space to try out your ideas.
Basic Benefits
Basic Benefits- Get private medical care and a Multisport card.
- Use our company library, attend onsite English lessons, and benefit from a dedicated training budget.
- Join free team lunches and enjoy fresh fruit & snacks.
- Take part in team-building activities and holiday celebrations.
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