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Data Science Associate Manager (S&E - Finance)
Buenos Aires
Job No. r00199853
Full-time
Descripción De La Posición
Objective:
Lead our data science team in delivering high-impact analytics solutions that drive business value. Your expertise in data science, machine learning, generative AI, time series modeling, and strategic leadership will be critical in shaping our data initiatives and achieving our organizational goals.
Responsibilities:
· Design and build advanced predictive, prescriptive models and machine learning algorithms.
· Lead and manage the end-to-end lifecycle of data science projects, ensuring timely and high-quality delivery.
· Conduct financial analysis using time series models to forecast and track key performance indicators (KPIs).
· Collaborate with business leaders to translate their needs into data-driven and generative AI solutions.
· Conduct research and stay current with advancements in generative AI. Be on top of new algorithms/ frameworks.
· Stay current with industry trends and integrate new technologies and methodologies as appropriate.
· Develop and implement data science strategies aligned with business objectives.
Requisitos
Requirements:
· Degree in Economics / Engineering / Computer Science or any related field
· Passion for integrating business and technology.
· Ability to work creatively and analytically in a problem-solving environment.
· Strong creative and analytical problem-solving skills.
· Exceptional communication and interpersonal skills
· Experience articulating business questions and using quantitative techniques to arrive at a solution using available data.
· Ability to work in a fast-paced business environment.
- Advanced English
Skillset
· Proficiency in Python, R, and SQL, with experience in machine learning frameworks
· Experience in developing and applying time series models for financial forecasting and KPI tracking.
· Strong statistical analysis, mathematical modeling, and data mining skills.
· Knowledge of big data technologies (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).
· Expertise in generative AI models such as GANs, VAEs, and autoregressive models.
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