Mid-level Data Science Associate Consultant - LATAM

                Job Title: Mid-level Data Science Associate Consultant

Job Type: Full-time

Location: Remote - LATAM

Job Summary:
ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. 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.

Key Responsibilities:
- Design and implement advanced analytical and ML models to solve complex business challenges.
- Apply data mining, predictive modeling, and NLP techniques to extract insights from structured and unstructured data.
- Develop scalable analytical workflows using Python and integrate results into client systems.
- Build and maintain data pipelines; optimize data ingestion and transformation processes.
- Collaborate with cross-functional teams to interpret findings and influence data-driven decision-making.
- Develop reusable analytical assets and contribute to platform scalability initiatives.
- Mentor junior analysts and ensure best practices in data science workflows.

Required Skills and Qualifications:
- Master’s in Computer Science, Statistics, Data Science, or related field with 2–4 years of experience.
- Proficiency in Python (pandas, NumPy, scikit-learn) or R for model building and analysis.
- Experience with machine learning pipelines, feature selection, and model evaluation.
- Hands-on knowledge of big data tools (Spark, Hadoop) and cloud platforms (AWS, Azure).
- Familiarity with SQL and NoSQL data stores.
- Ability to translate technical results into actionable business recommendations.
- Experience working in agile environments and leading small-scale analytical projects.

Preferred Qualifications:
- Experience fine-tuning generative models and integrating classic AI techniques.
- Prior leadership experience and a record of mentoring junior colleagues.
- Domain expertise in healthcare, transportation, technology, insurance, or related sectors.