(RFP300224) - Senior Analyst (Data Scientist) - IT

  • Added Date: Wednesday, 29 January 2025
  • Deadline Date: Wednesday, 12 February 2025
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The Organization

The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve people's lives. Alliance solutions address the global crises of malnutrition, climate change, biodiversity loss, and environmental degradation. With novel partnerships, the Alliance generates evidence and mainstreams innovations to transform food systems and landscapes so that they sustain the planet, drive prosperity, and nourish people.

The Alliance is part of CGIAR, a global research partnership for a food-secure future.

About the position

The Innovation and Business Development unit is seeking a Senior Analyst responsible for transforming complex data into actionable insights. This role involves analyzing large volumes of data to identify trends and opportunities, developing predictive models to support strategic decision-making, and effectively communicating key findings to stakeholders. The Senior Analyst will be driving data-driven strategies and optimizing business processes. To excel in this position, familiarity with Agile methodologies and proficiency in tools such as Jira and Notion are essential for effective collaboration within a dynamic team environment.

The position will be based in the operations center of the Americas, located in the Campus of Palmira, Colombia. And will offer hybrid working conditions.

 

Responsibilities:

  • Collaborate with product and business teams to identify opportunities where AI solutions can provide tangible value, streamline processes, enhance customer satisfaction, and promote innovation.
  • Support the design, training, and optimization of traditional machine learning models (regression, classification, time series, clustering) to assist in forecasting trends, predicting behaviors, and guiding strategic decision-making.
  • Contribute to the development and refinement of generative models (GANs, VAEs, Transformers, Diffusion Models) to produce synthetic content that aids in product prototyping, feature development, and enhancing user experiences.
  • Assist in implementing and customizing LLMs (GPT, T5, LLaMA, etc.) to improve user interactions, generate relevant content, and add value to applications.
  • Utilize the Hugging Face ecosystem to efficiently implement, fine-tune, and deploy advanced NLP and generative models, accelerating the development process.
  • Integrate and tailor models from external AI platforms, such as OpenAI and Amazon Bedrock, to meet specific use cases and ensure seamless alignment with the product ecosystem.
  • Work closely with the engineering team to support the integration of models into the existing tech stack, ensuring scalability, performance, security, and maintainability in production environments.
  • Define and monitor quality metrics (accuracy, recall, FID score, perplexity, etc.), conducting experiments to enhance the relevance, performance, and overall quality of predictive and generative models.
  • Develop dashboards and visualizations to provide stakeholders with clear insights, translating complex findings into actionable recommendations for non-technical audiences.
  • Actively engage in Agile methodologies (Scrum/Kanban), participating in sprint reviews, retrospectives, and daily stand-ups, while maintaining thorough documentation and tracking progress using tools like Jira and Notion.
  • Stay informed about the latest advancements in generative AI, machine learning, MLOps, and software development, adopting new approaches and technologies to align with evolving business requirements.

    Requirements

    Qualifications and requirements

This vacancy is archived.

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