Cloudera

1 month ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Design, develop, and deploy GenAI-powered internal applications, copilots, and AI-enabled workflows. Build reusable AI components, retrieval pipelines, and evaluation harnesses. Design retrieval strategies that connect LLMs to trusted internal knowledge sources. Develop statistical and ML models for automation, forecasting, and classification. Collaborate across teams to enable scalable AI adoption while upholding responsible AI practices.

Location: Costa Rica

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design, develop, and deploy GenAI-powered internal applications, copilots, and workflow accelerators.
•Build reusable AI components, including retrieval pipelines, structured prompting patterns, orchestration workflows, and evaluation harnesses.
•Design retrieval strategies that connect LLMs to trusted internal knowledge sources, ensuring grounded and reliable outputs.
•Develop and maintain statistical and machine learning models to support automation, optimization, forecasting, and classification use cases.
•Implement evaluation and validation frameworks to measure quality, accuracy, and consistency of AI-driven systems.

Pay and Benefits

Perks:Remote WorkWellness StipendVolunteer Time

Key Requirements

•Generative AI & LLM Engineering: Hands-on experience with large language models (LLMs) and modern AI tooling, including prompt design, RAG, and workflow automation.
•AI Application Development Experience: rapid prototyping and iteration on internal applications, copilots, or AI-enabled workflow tools; familiarity with Streamlit, Gradio, FastAPI or similar is beneficial.
•Platform-Oriented Thinking: design reusable components like shared prompt libraries, retrieval pipelines, evaluation frameworks, and standardized integration patterns.
•Data Science & Machine Learning Expertise: Python (or R) for data prep, feature engineering, modeling, and ML; experience with Pandas, NumPy, scikit-learn; understanding of supervised/unsupervised learning.
•Strong Mathematical and Statistical Foundation: probability, statistical inference, experimentation, quantitative reasoning to ensure model robustness.

Experience:5+ yearsData scienceAIMLGenAILLMProduction-grade

Skills:PythonSQLPandasNumPyScikit-learnStreamlitGradioFastAPILLMsRAGGitHub

Tech Stack:PythonSQLPandasNumPyScikit-learnStreamlitGradioFastAPILLMsRAGGitHub

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Cloudera

Provides a hybrid data platform for managing, analyzing, and securing enterprise data across cloud and on-premises environments, enabling machine learning, analytics, and data engineering at scale.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 2008

Glassdoor: 3.8

Website LinkedIn

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Cloudera

1 month ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Costa Rica

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design, develop, and deploy GenAI-powered internal applications, copilots, and workflow accelerators.
•Build reusable AI components, including retrieval pipelines, structured prompting patterns, orchestration workflows, and evaluation harnesses.
•Design retrieval strategies that connect LLMs to trusted internal knowledge sources, ensuring grounded and reliable outputs.
•Develop and maintain statistical and machine learning models to support automation, optimization, forecasting, and classification use cases.
•Implement evaluation and validation frameworks to measure quality, accuracy, and consistency of AI-driven systems.

Pay and Benefits

Perks:Remote WorkWellness StipendVolunteer Time

Key Requirements

•Generative AI & LLM Engineering: Hands-on experience with large language models (LLMs) and modern AI tooling, including prompt design, RAG, and workflow automation.
•AI Application Development Experience: rapid prototyping and iteration on internal applications, copilots, or AI-enabled workflow tools; familiarity with Streamlit, Gradio, FastAPI or similar is beneficial.
•Platform-Oriented Thinking: design reusable components like shared prompt libraries, retrieval pipelines, evaluation frameworks, and standardized integration patterns.
•Data Science & Machine Learning Expertise: Python (or R) for data prep, feature engineering, modeling, and ML; experience with Pandas, NumPy, scikit-learn; understanding of supervised/unsupervised learning.
•Strong Mathematical and Statistical Foundation: probability, statistical inference, experimentation, quantitative reasoning to ensure model robustness.

Experience:5+ yearsData scienceAIMLGenAILLMProduction-grade

Skills:PythonSQLPandasNumPyScikit-learnStreamlitGradioFastAPILLMsRAGGitHub

Tech Stack:PythonSQLPandasNumPyScikit-learnStreamlitGradioFastAPILLMsRAGGitHub

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Cloudera

Provides a hybrid data platform for managing, analyzing, and securing enterprise data across cloud and on-premises environments, enabling machine learning, analytics, and data engineering at scale.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 2008

Glassdoor: 3.8

Website LinkedIn