Senior Data Scientist
DO OK • Life-changing software services
⚲ Wrocław
25 000 - 30 000 PLN netto (B2B)
Wymagania
- Python
- Data Science
Opis stanowiska
We are looking for a Senior Data Scientist who combines strong technical expertise with a business-oriented mindset. This role goes beyond building models – we need someone who can proactively identify opportunities, propose solutions, and translate data-driven insights into measurable business value.
You will work across Data Science, AI, software development, and business initiatives, collaborating closely with engineering, product, and sales teams.
Responsibilities
• Design, build, and optimize machine learning and AI-based solutions.
• Enhance and develop recommendation systems and intelligent data-driven features.
• Integrate and process data from multiple sources.
• Support implementation and migration activities in cloud environments.
• Collaborate with stakeholders to identify business opportunities and validate hypotheses using data.
• Develop production-ready solutions and APIs.
• Support pre-sales and business initiatives by preparing analyses, recommendations, and proof-of-concepts.
• Continuously improve scalability, automation, and quality of delivered solutions.
• Proactively propose new approaches, technologies, and improvements.
Requirements
Must-have
• 5+ years of commercial experience in Data Science, Machine Learning, AI, or related roles.
• Strong Python programming skills.
• Experience with FastAPI or another Python backend framework.
• Practical experience building and deploying machine learning solutions.
• Very good knowledge of Git and software development best practices.
• Experience working with cloud platforms (Azure, AWS, or GCP).
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts in a business context.
• Experience designing, running, and analyzing A/B tests.
• Proactive attitude and ownership mindset.
Nice-to-have
• Experience with Microsoft Azure, including:• Azure Functions
• Azure Synapse
• Azure Machine Learning
• Experience with:
• LangChain
• LangGraph
• LangFuse
• Familiarity with:
• PyTorch
• TensorFlow
• Pandas
• Experience building GenAI or LLM-based solutions.
• Knowledge of CI/CD pipelines and MLOps practices.
What we're looking for
We value people who:
• Think business first and understand the impact of their work.
• Can clearly demonstrate achievements and measurable outcomes from previous projects.
• Take initiative instead of waiting for detailed instructions.
• Are comfortable working across different domains: Data Science, AI, software engineering, and business support.
• Are open to feedback and collaborative problem solving.
What we offer
• Fully remote work within Poland.
• Opportunity to work on AI, Data Science, and software engineering initiatives.
• High level of autonomy and influence on technical decisions.
• Experienced engineering environment focused on delivering measurable business value.
You will work across Data Science, AI, software development, and business initiatives, collaborating closely with engineering, product, and sales teams.
Responsibilities
• Design, build, and optimize machine learning and AI-based solutions.
• Enhance and develop recommendation systems and intelligent data-driven features.
• Integrate and process data from multiple sources.
• Support implementation and migration activities in cloud environments.
• Collaborate with stakeholders to identify business opportunities and validate hypotheses using data.
• Develop production-ready solutions and APIs.
• Support pre-sales and business initiatives by preparing analyses, recommendations, and proof-of-concepts.
• Continuously improve scalability, automation, and quality of delivered solutions.
• Proactively propose new approaches, technologies, and improvements.
Requirements
Must-have
• 5+ years of commercial experience in Data Science, Machine Learning, AI, or related roles.
• Strong Python programming skills.
• Experience with FastAPI or another Python backend framework.
• Practical experience building and deploying machine learning solutions.
• Very good knowledge of Git and software development best practices.
• Experience working with cloud platforms (Azure, AWS, or GCP).
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts in a business context.
• Experience designing, running, and analyzing A/B tests.
• Proactive attitude and ownership mindset.
Nice-to-have
• Experience with Microsoft Azure, including:• Azure Functions
• Azure Synapse
• Azure Machine Learning
• Experience with:
• LangChain
• LangGraph
• LangFuse
• Familiarity with:
• PyTorch
• TensorFlow
• Pandas
• Experience building GenAI or LLM-based solutions.
• Knowledge of CI/CD pipelines and MLOps practices.
What we're looking for
We value people who:
• Think business first and understand the impact of their work.
• Can clearly demonstrate achievements and measurable outcomes from previous projects.
• Take initiative instead of waiting for detailed instructions.
• Are comfortable working across different domains: Data Science, AI, software engineering, and business support.
• Are open to feedback and collaborative problem solving.
What we offer
• Fully remote work within Poland.
• Opportunity to work on AI, Data Science, and software engineering initiatives.
• High level of autonomy and influence on technical decisions.
• Experienced engineering environment focused on delivering measurable business value.
🔍 Dekoder Ogłoszenia
🔴
This role goes beyond building models – we need someone who can proactively identify opportunities, propose solutions, and translate data-driven insights into measurable business value.
Oczekuje się, że będziesz aktywnie szukać problemów do rozwiązania i udowadniać wartość swojej pracy, a nie tylko wykonywać zlecone zadania.
🟡
You will work across Data Science, AI, software development, and business initiatives, collaborating closely with engineering, product, and sales teams.
Będziesz musiał komunikować się i współpracować z wieloma różnymi działami, co może oznaczać potrzebę tłumaczenia złożonych koncepcji technicznych na język biznesowy.
🟡
Support implementation and migration activities in cloud environments.
Może to oznaczać zarówno wsparcie techniczne przy wdrażaniu, jak i faktyczne przenoszenie istniejących rozwiązań do chmury.
🔴
Support pre-sales and business initiatives by preparing analyses, recommendations, and proof-of-concepts.
Część Twojej pracy może polegać na przygotowywaniu materiałów sprzedażowych i prezentacji dla klientów, co wykracza poza typowe zadania Data Scientist.
🟢
Continuously improve scalability, automation, and quality of delivered solutions.
Oczekuje się, że będziesz nie tylko tworzyć modele, ale także dbać o ich produkcyjną jakość, wydajność i łatwość utrzymania.