Senior/Lead Data Scientist @

2 weeks ago


Remote Kraków, Czech Republic Numlabs Full time
Formal requirements
  • Proven experience as a Data Scientist with a track record of delivering impactful data-driven solutions
  • Knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling
  • Proficiency in programming languages such as Python or R and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn)
  • Expertise in using Databricks for data science workflows, including data preprocessing, feature engineering, model training, and evaluation
  • Experience working in a collaborative, cross-functional team environment is highly desirable
  • Hands-on production experience with MLOps in Databricks, particularly in Model Registration and Evaluation workflows
  • Competency in Anthropic's Model Context Protocol, Azure AI Agent Service, or Dapr
  • Expertise in building AI Agents and integrating them into advanced reasoning models to solve complex business challenges
  • AI "Platform" skills, including implementing constraints, monitoring, automated testing, and optimizing AI systems for reliability and scalability
  • Upper-Intermediate Proficiency in English level
Good to have
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
  • Experience applying Generative AI and traditional AI techniques to optimize processes and solve complex business problems
  • Solid understanding of data visualization techniques and tools (e.g., Qlik, Tableau, Power BI) to effectively communicate complex findings to stakeholders

Job Description:

The world's largest human resources consulting firm is headquartered in New York City, with its main branches in 40+ countries. Over 20,500 employees operate internationally in more than 130 countries. Its services are used by 97% of Fortune 500 companies. 

We seek a highly skilled and motivated Data Scientist to join our team. As a Senior/Lead Data Scientist, you will work closely with business data experts to analyze complex datasets, develop innovative data-driven solutions, and provide valuable insights to drive business growth. The ideal candidate will have experience using Databricks for data science work and possess a solid background in both Generative AI and traditional AI techniques. 

Seniority: 5+ years of relevant experience

Requirements:

  • Proven experience as a Data Scientist with a track record of delivering impactful data-driven solutions
  • Knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling
  • Proficiency in programming languages such as Python or R and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn)
  • Expertise in using Databricks for data science workflows, including data preprocessing, feature engineering, model training, and evaluation
  • Experience working in a collaborative, cross-functional team environment is highly desirable
  • Hands-on production experience with MLOps in Databricks, particularly in Model Registration and Evaluation workflows
  • Competency in Anthropic's Model Context Protocol, Azure AI Agent Service, or Dapr
  • Expertise in building AI Agents and integrating them into advanced reasoning models to solve complex business challenges
  • AI "Platform" skills, including implementing constraints, monitoring, automated testing, and optimizing AI systems for reliability and scalability
  • Upper-Intermediate Proficiency in English level

Remote vs Onsite: Fully Remote

Salary: 100 - 160 PLN/hour B2B

Wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez NUMLABS sp. z o.o. z siedzibą w: Emaus 5, 30-201 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu

,[] Requirements: Python, MLOps, GenAI, Azure, Anthropic, Tableau, Qlik, Power BI Additionally: Sport subscription, Small teams, International projects, Free coffee, Shower, No dress code.

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