Mid-level Data Science Associate Consultant - United States

Job Description Job Title: Mid-level Data Science Associate Consultant Job Type: Full-time Location: Remote / Hybrid United States 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. Important: Once you have applied, you will be asked to take a short AI interview.