Product Data Scientist (Senior Customer Success Lead)

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 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. 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 and shape who we are. Product Data Scientist (Senior Customer Success Lead) ZS's Beyond Healthcare Analytics (BHCA) Team is shaping one of the growth verticals & key focus areas for ZS, Beyond Healthcare engagement, comprising clients from industries like Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods, and other such industries. Being part of the BHCA Team at ZS will be an opportunity for you to work on cutting-edge solutions including areas like AI SaaS products, Advanced analytics & AI frameworks, Generative AI applications, Data Engineering frameworks, and working in cross-capability Business-Tech teams utilizing new age data sources to shape innovations across multiple areas for our clients and the broader ZS community. The Product Data Scientist (Sr. Lead, Customer Success) role is the client-facing lead who owns the end-to-end delivery on aligned objectives with clients, builds required storyboards with insights/impact summary, is accountable for delivering client impact, translates client requirements to teams responsible for building data science modeling & engineering setup, and breaks down unstructured business problems for multiple clients and project teams leveraging problem-solving frameworks, analysis tools & techniques. The Product Data Scientist (Sr. Lead, Customer Success) will leverage their Business Acumen, Data Science, and engineering skills to build Advanced analytics processes, operational process pipelines, and present data-driven insights that help our clients solve their most important business problems and bring optimizations to life. They will also engage with the Project Leadership team and clients to help them understand the insights, summaries, implications, and make plans to act on them. What You'll Do Deep analytics-tech expertise:Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment. Execute statistical and data modeling techniques (e.g., hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity, etc.) on large data sets to identify trends and other relevant information with scalable and operational process implementations. Expertise in devising and implementing pragmatic solutions for complex business problems by breaking them down into simpler problems with best-in-class industry-focused frameworks. Communication, collaboration, unstructured problem solving, and client management (in a high-performing and high-intensity team environment):Lead multiple client engagement teams to design and execute solution setup (right data science algorithm, data modeling setup, design success metrics/KPIs, and stakeholder management) sustainably and profitably; drive value and client impact; identify new use cases; proactive in approach. Problem solving and Client management: Understand and manage client business priorities, size business opportunities, develop product use cases, and enable the use case for the clients sustainably. Collaboration: Lead the engagement with a cross-functional team to drive success on client engagement objectives. Envision and deliver holistic solutions comprising best practices from Frontend and Backend engineering, Data Science, and ML Engineering areas. Storyboarding & impact communication: Build & present effective storyboards with solution impact to clients and ZS Leadership. Scaling mindset: Provide a structure to client engagement with effective solutions at scale, able to convert solutions delivered to product modules and build automation. Team management: Build and export best practices and learnings to the broader team and mentor junior team members. Thought leadership and executive presence:Synthesize key learnings from client engagements and drive business development. Focus on building the presence of the space and thought leadership content around the impact delivered with publications across esteemed platforms (Medium, ZS.Com, journals, etc.). What You'll Bring A master's or bachelor's degree in Computer Science (or Statistics) with strong academic performance in analytics and quantitative coursework is required. Knowledge of programming - Python (Deep Expertise), Pyspark, SQL. Strong process evaluations and QC skills to debug and update processes and boost efficiency. Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment). Knowledge of big data/advanced analytics concepts and algorithms (e.g., social listening, recommender systems, predictive modeling, etc.). At least 5-6+ years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management, and building scalable processes. Excellent critical thinking, logical reasoning, and problem-solving skills. Publishes thought leadership content across channels and builds industry-focused POVs around projects driven. High motivation, good work ethic, maturity, and personal initiative for leading and managing teams. Strong oral and written communication skills that enable personal impact with senior-level decision makers. Experience leading a team of at least 5-6 people for 5+ years of work experience. Should have hands-on analytics experience where the candidate has worked on the algorithms/methodology from scratch and not merely executed existing codes and processes. Strong attention to detail, with a quality-focused mindset. #J-18808-Ljbffr

Created: 2025-02-09