Data Science Lead

ZS; Municipio de Esquel; Hybrid; ARS 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Flexible hybrid work

Travel opportunities

Professional development

Job summary

ZS is seeking an experienced Insights & Analytics professional in Argentina to develop advanced statistical algorithms and ML solutions for client projects. The role emphasizes collaboration with clients, mentorship of associates, and contribution to thought leadership in a hybrid work environment.

The candidate should hold a PhD or Master’s with significant post-graduate experience, possess strong quantitative skills, and be fluent in English.

Qualifications

• PhD in CS/Statistics or MSc with 5+ years of experience.
• Strong analytical and quantitative skills.
• Knowledge of big data and algorithms (text mining, recommender systems, etc.).
• Proficiency in Java/Python/R.
• Experience with Hadoop, AWS, or databases.
• Agile project planning experience.
• Client interaction and leading teams.
• Fluency in English.

Responsibilities

• Develop advanced statistically efficient algorithms for high-dimensional problems.
• Apply ML and data mining techniques to identify trends and insights.
• Collaborate with clients and stakeholders to communicate results effectively.
• Assess emerging datasets and technologies for analytical platforms.
• Create assets to enable scalable analytics.
• Support thought leadership through research and publications.
• Mentor Associate team members.

Skills

English proficiency

Client interaction

Project leadership

Agile methods

Problem solving

Education

PhD in Computer Science/Statistics

Master’s with 5+ years experience

Tools

Hadoop ecosystem

AWS

Database systems

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

ZS's Insights & Analytics group

Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

What You’ll Do

• Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
• Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate
• Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.
• Engage in the development of specific assets/accelerators that foster scalability.
• Contribute to advancing thought leadership through research support and publication assistance.
• Provide guidance and mentorship to Associate team members.

What You’ll Bring

• A PhD Degree in Computer Science, Statistics, or a relevant field or a Master’s degree with 5 or more years of relevant post-collegiate work experience;
• A robust academic performance with coursework emphasizing analysis and quantitative skills.
• A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
• A proficiency in at least one programming language (e.g., Java/Python/R).
• Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
• A proficiency in agile project planning and project management techniques.
• Experience in client interaction, crafting project proposals, and leading teams.
• Fluency in English.
• Client-first mentality.
• Intense work ethic.
• Collaborative spirit and problem-solving approach.

How you’ll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Argentina, visit ZS Argentina office locations | Where we work | ZS.

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

Find Out More At:

www.zs.com