Advanced Data Science Associate Consultant

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. 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 engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact at ZS. Our most valuable asset is our people. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to help our ZSers cultivate community spaces, obtain resources to thrive, and share messages they are passionate about. Insights & Analytics 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. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve high-dimensionality problems. 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 relevant information. Collaborate with clients and stakeholders at ZS to integrate and communicate analysis findings effectively. Contribute to the assessment of emerging datasets and technologies impacting our analytical platform. Engage in developing assets and accelerators that foster scalability. Support research and publication efforts to advance thought leadership. Provide guidance and mentorship to Associate team members. What You’ll Bring A PhD in Computer Science, Statistics, or a relevant field, or a master’s degree with 3-5 years of relevant experience. Strong academic performance with coursework emphasizing analysis and quantitative skills. Knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling). Proficiency in at least one programming language (e.g., Java, Python, R). Experience with tools/platforms such as Hadoop ecosystem, AWS, or database systems. Proficiency in agile project planning and management techniques. Prior leadership experience in relevant roles. Fluency in English. Additional Skills Relevant domain knowledge in healthcare, transportation, technology, insurance, or related areas. Perks & Benefits ZS offers a comprehensive rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our skills development programs, career progression options, internal mobility, and collaborative culture empower you to thrive as an individual and as part of a global team. We are committed to providing a flexible and connected work environment, combining work from home and on-site presence at clients or ZS offices. This blend fosters innovation through both planned and spontaneous face-to-face interactions. Travel Travel is required for client-facing ZSers; project and client needs take priority. While some projects are local, all client-facing ZSers should be prepared to travel as needed. Travel offers opportunities to strengthen client relationships, gain diverse experiences, and grow professionally by working in different environments and cultures.

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