Senior Data Science Analyst — ML & Client Impact

Zs Associates; Buenos Aires; Híbrido; ARS 2.400.000 - 4.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Professional growth

Global team

Descripción de la vacante

ZS Associates in Argentina seeks a highly skilled data science professional to advance statistical algorithms and analytics capabilities. You will work with clients and ZS teams to deliver data-driven insights, leveraging big data, ML techniques, and scalable tools across multiple projects.

The role requires a PhD or Master’s with strong quantitative background, fluency in English, and demonstrated leadership. A hybrid work model and travel for client engagements are available and encouraged.

Formación

• PhD in CS/Statistics/Economics or a Master’s with 3-5 years of relevant post‑grad experience.
• Strong analytical coursework and quantitative skills emphasized in academics.
• Proficiency in big data, analytics concepts and relevant algorithms.

Responsabilidades

• Develop advanced statistically efficient algorithms for high dimensional problems.
• Apply hypothesis testing, ML and data mining to identify trends and insights.
• Collaborate with clients and stakeholders to communicate findings effectively.
• Assess emerging datasets and technologies impacting analytics platforms.
• Contribute to assets and accelerators for scalable solutions.
• Support thought leadership through research and publications.
• Mentor Associate team members and provide guidance.

Conocimientos

English fluency

Programming (Java/Python/R)

Big data analytics

Agile project management

Leadership experience

Client-facing collaboration

Machine learning basics

Educación

PhD in CS/Statistics/Economics or Master’s with 3-5 years experience

Herramientas

Azure

AWS

SQL/Databases

Descripción del empleo

ZS Associates in Argentina seeks a highly skilled data science professional to advance statistical algorithms and analytics capabilities. You will work with clients and ZS teams to deliver data-driven insights, leveraging big data, ML techniques, and scalable tools across multiple projects.

The role requires a PhD or Master’s with strong quantitative background, fluency in English, and demonstrated leadership. A hybrid work model and travel for client engagements are available and encouraged.