RFP300224 - Senior Analyst Data Scientist - IT
RFP300224 - Senior Analyst Data Scientist - IT
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Job Description
The Organization
The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) delivers researchbased 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 foodsecure 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 decisionmaking and effectively communicating key findings to stakeholders. The Senior Analyst will be driving datadriven 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 decisionmaking.
- 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 finetune 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 nontechnical audiences.
- Actively engage in Agile methodologies (Scrum/Kanban) participating in sprint reviews retrospectives and daily standups 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
- Bachelor s degree in Statistics Mathematics Engineering Computer Science or related fields enroll in postgraduate studies.
- Solid understanding of statistics mathematics and programming in Python or R with experience in data science tools like pandas NumPy and scikitlearn.
- Proficiency in managing SQL and NoSQL databases and using data visualization tools such as Tableau Power BI or matplotlib.
- Experience with machine learning deep learning techniques and tools like TensorFlow and PyTorch.
- Familiarity with Agile frameworks (Scrum Kanban) and tools like Jira and Notion for task and project management.
- Proficiency in using Jira for project tracking and Notion for documentation and collaboration.
- Knowledge of version control systems like Git.
- Intermediate level of English proficiency (written and spoken).
- Additional experience in big data environments NLP or computer vision is a plus.
Skills and competences
- Communication skills to effectively collaborate with technical and nontechnical team members and stakeholders.
- Strong analytical skills systematic approach and selfreliance.
- Problemsolving and analytical skills.
- Ability to prioritize and execute tasks.
- Flexibility and adaptation to change.
Benefits
Terms of employment
This is a nationally recruited position placed at a BG07 on a scale of 14 levels with level 14 being the highest.
This is a Colombian national search and will be managed through a fixedterm contract of a one (1) year period subject to a probation period according to the local legislation and is renewable depending on performance and availability of resources. The Alliance BioversityCIAT offers a multicultural collegial research environment with competitive salaries and excellent benefits. We are an equal opportunity employer and strive for gender diversity and inclusion in our staff without regard to race color religion gender gender identity sexual orientation national origin ethnicity age disability marital status or any other characteristic.
Applications
Applicants are invited to send a detailed curriculum vitae including names and addresses of three referees knowledgeable about the candidate s professional qualifications and work experience. All correspondence should be addressed to the Human Resources Office at () and should clearly indicate Application: Senior Analyst IT IBD .
Closing date for applications: February 12th 2024
We invite you to learn more about us at:
Careers Alliance Bioversity International CIAT (alliancebioversityciat.org)
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
Education
Bachelor s degree in Statistics, Mathematics, Engineering, Computer Science, or related fields enroll in postgraduate studies. Solid understanding of statistics, mathematics, and programming in Python or R, with experience in data science tools like pandas, NumPy, and scikit-learn. Proficiency in managing SQL and NoSQL databases and using data visualization tools such as Tableau, Power BI, or matplotlib. Experience with machine learning, deep learning techniques, and tools like TensorFl
Employment Type
Full Time
