This role is in Accenture Research Data Science Global Team.

We are looking for an experienced data scientist with business knowledge and research mindset and a passion for data-driven insight discovery.

We offer a career aligned to our priority of creating innovation and impact, developing innovative data assets and managing complex data driven research projects, with multinational and multidisciplinary teams. We provide opportunities for coaching, supervision and mentoring, as well as responsibilities to manage dedicated research budgets and relationships with external partners.

Key Responsibilities include:

  • Lead and oversee a team of data scientists to derive valuable business insights from data, setting strategic goals and ensuring effective collaboration.

  • Design, lead and deliver high impact data science projects focusing on business impact.

  • Drive innovation on research projects collaborating closely with research leads, economists, survey experts as well as business stakeholders.

  • Design and execute groundbreaking and differentiated data science assets.

  • Develop innovative data-driven approaches to support current and future research projects – including with institutions like the World Economic Forum, Harvard and MIT, and leading multinational industry associations.

  • Represent Accenture in client-facing situations where a core part of the research solution lies in data science.

  • Manage research budgets and relationships with external partners.

  • Foster the adoption of data science research tools and outputs within Accenture.

  • Understand and manage risks associated with data science projects.

  • Oversee the quality of analyses, models, and insights generated by the team.

  • Implement best practices for data quality, security, and compliance.

  • Coach and mentor more junior data scientists.

What we offer:

  • We have access to 100+ business data sources through our research data lake. We are constantly expanding our universe of data from commercial and open sources and partnering with premium data providers to improve quality of inputs into our models.

  • We provide several unique training opportunities to continue your growth, including both internal trainings, on the job, personal exploration time to work on novel methodologies without the constraints of a projects and with leading universities.

Please apply with your CV in English to be considered.

Experience and skills:

  • Proficiency in Python.

  • Proficiency in SQL.

  • Knowledge of other programming languages would be a plus.

  • Recognized expertise with machine learning algorithms, including supervised and unsupervised learning, and their applications.

  • Knowledge of deploying machine learning models into production environments.

  • Excellent understanding of statistical concepts and modeling methodologies, including forecasting, cross-section and time-series econometrics, causal inference, and experiments design.

  • Familiarity with Natural Language Processing and Text Analytics techniques.

  • Exposure to Generative AI algorithms would be a plus.

  • Ability to work with messy, real-world data, including cleaning, preprocessing, storing, and wrangling data to ensure quality.

  • Experience with cloud platforms like AWS and Google Cloud.

  • Understanding of databases and data storage systems to make informed decisions about data infrastructure.

  • Significant track record in leading complex research projects using econometric modeling and data science.

  • Strong interest in Technology, Economics, and/or Business research.

  • Understanding of business dynamics and how to incorporate them into data science models.

  • Ability to address complexity in team management as well as project management.

  • Strong professional qualities: client focus, decisiveness, integrity, resilience to stress against stretch goals and deadlines.

  • Excellent communication (written and oral) to convey complex technical concepts to non-technical stakeholders and strong interpersonal skills to foster collaboration and teamwork.

  • Solid experience in the presentation of research deliverables to high level executives.

  • Enthusiasm to work effectively in a global, multi-cultural team.

  • Experience in developing and coaching junior data scientists.

  • Fluency in English.

Qualifications:

Education: Master's degree in computer science, Economics, Statistics, Data Science, Business Analytics, or similar. PhD is a plus.

Work Experience: 7+ years of relevant economic research and data science experience.

Location: Buenos Aires, Argentina

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Day off on your Birthday

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Paternity & Extended Maternity Leave

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Data Science Economic Research Manager

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