Senior Data Scientist for Agricultural Innovation

14 ore fa

Roma, Lazio, Italia Food And Agriculture Organization Of The United Nations A tempo pieno

**Company Overview**

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The Food and Agriculture Organization of the United Nations (FAO) is seeking a highly skilled Senior Data Scientist to join its team in [location]. The ideal candidate will have extensive experience in data science, machine learning, and natural language processing, with a focus on agricultural innovation.

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**Salary**

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The salary for this position is estimated to be around $120,000 per year, depending on qualifications and experience.

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**Job Description**

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As a Senior Data Scientist, you will be responsible for developing and implementing advanced data science methods and AI techniques to extract insights from large volumes of unstructured data in agriculture, food security, and nutrition. Your primary focus will be on NLP and LLMs, with expertise in deploying, fine-tuning, and customizing Large Language Models for NLP tasks.

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Your key responsibilities will include:

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  • Designing and implementing advanced methods, data collection processes, and analytical frameworks utilizing tools like R, Python, SQL, and NoSQL databases.">
  • Driving the analysis, validation, and dissemination of complex datasets using traditional statistical/data-engineering methods or employing AI and machine learning to enhance data interpretation and decision-making.">
  • Engaging in statistical capacity development, providing technical assistance and training that covers both foundational statistical skills and modern data science and AI techniques.">
  • Collaborating with other FAO Divisions and teams to develop innovative solutions for data integration, automation, and visualization to enhance decision-making.">
  • Developing statistical projects that merge conventional statistical methods with cutting-edge AI techniques, such as LLMs and deep learning, to innovate data collection, processing, and analysis practices.">
  • Providing technical assistance and training to countries and/or professional experience in national statistical services.">
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**Required Skills and Qualifications**

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To be successful in this role, you will need:

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  • An advanced university degree in data science, statistics, economics, computer science, or a related field.">
  • At least 1 year of relevant experience in the field of data science, machine learning, natural language processing, artificial intelligence.">
  • A working knowledge of English (level C).">
  • Demonstrated proficiency and extensive experience in performing tasks and responsibilities in relevant statistical or data science fields.">
  • Experience in data exploration, preprocessing, and transformation techniques for handling diverse data types, including structured and unstructured formats.">
  • Competent in evaluating and optimizing models using metrics.">
  • Knowledgeable in ETL processes and data engineering.">
  • Strong foundation in deploying, fine-tuning, and customizing Large Language Models (LLMs) for NLP tasks.">
  • Experienced with models such as GPT, BERT, and T5, applying them to tasks like text generation, summarization, classification, and sentiment analysis.">
  • Proficient in creating Retrieval-Augmented Generation (RAG) tools.">
  • Proficient in Python (with extensive use of libraries such as Pandas, NumPy, Scikit-learn, TensorFlow) and R for data manipulation, model development, and deployment.">
  • Skilled in data collection methods, including web scraping, API integration, and working with distributed data processing tools.">
  • Knowledgeable in SQL and NoSQL databases.">
  • Experienced in creating and optimizing ETL pipelines and understanding big data principles.">
  • Skilled in cloud computing platforms like GCP (preferably) or AWS.">
  • Ability to draft quickly, clearly, and concisely and to communicate effectively in English.">
  • Ability to work independently, with minimum supervision.">
  • Previous working experience with FAO and its partners in the above-mentioned domains and tasks would be an asset.">
  • Experience in the provision of technical assistance to countries and/or professional experience in national statistical services.">
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**Benefits**

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As a Senior Data Scientist at FAO, you will enjoy a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.

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**Others**

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FAO is committed to promoting diversity and inclusion in the workplace. Women and minority groups are encouraged to apply.

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