Lead Customer Success - Data Scientist

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 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. 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 assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Role Overview Lead, Customer Success/Data Scientist, BHCA: Customer Success – Lead role owns the end-to-end delivery of client engagement on aligned objectives/business priorities with clients, builds required storyboards with insights / impact summary, leads team to build data science modelling & engineering setup, breaks down & simplify unstructured business problems for our clients and project teams leveraging problem solving frameworks, analysis tools & techniques. Leads also engage with Project Leadership team and clients to drive business review discussions with quantitative insights, performance summaries, to enable tactical strategic decisions to act on them. Leads are also responsible for supporting business development activities including product pitches, product enhancement roadmap and leading upskilling efforts for entire customer success team to keep team equipped with new tools, analytics techniques and frameworks. Deep analytics-tech expertise: Expertise in devising and implementing pragmatic solutions for complex business problems by breaking down into simpler problems with best-in-class industry focused frameworks Deliver advanced algorithms driven computationally efficient and statistically effective solutions at scale leveraging tools like PySpark, Python, SQL for business requirements Recommend and builds statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify key trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client management (in a high performing and high intensity team environment): Problem solving and Client management: Understand and manage client business priorities, sizes business opportunities, develop product use cases, and enable the use case for the clients in sustainable manner Collaboration: lead the engagement with a cross-functional team to drive success on client engagement objectives. Envisions and deliver holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. 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: Builds and export best practices and learnings to broader team and mentor junior team members on teams Thought leadership and executive presence: Synthesize key learnings from client engagements and build case studies for 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.) Qualifications Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL 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.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 2-4 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. 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. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. 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. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com


Role Overview Lead, Customer Success/Data Scientist, BHCA: Customer Success – Lead role owns the end-to-end delivery of client engagement on aligned objectives/business priorities with clients, builds required storyboards with insights / impact summary, leads team to build data science modelling & engineering setup, breaks down & simplify unstructured business problems for our clients and project teams leveraging problem solving frameworks, analysis tools & techniques. Leads also engage with Project Leadership team and clients to drive business review discussions with quantitative insights, performance summaries, to enable tactical strategic decisions to act on them. Leads are also responsible for supporting business development activities including product pitches, product enhancement roadmap and leading upskilling efforts for entire customer success team to keep team equipped with new tools, analytics techniques and frameworks. Deep analytics-tech expertise: Expertise in devising and implementing pragmatic solutions for complex business problems by breaking down into simpler problems with best-in-class industry focused frameworks Deliver advanced algorithms driven computationally efficient and statistically effective solutions at scale leveraging tools like PySpark, Python, SQL for business requirements Recommend and builds statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify key trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client management (in a high performing and high intensity team environment): Problem solving and Client management: Understand and manage client business priorities, sizes business opportunities, develop product use cases, and enable the use case for the clients in sustainable manner Collaboration: lead the engagement with a cross-functional team to drive success on client engagement objectives. Envisions and deliver holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. 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: Builds and export best practices and learnings to broader team and mentor junior team members on teams Thought leadership and executive presence: Synthesize key learnings from client engagements and build case studies for 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.) Qualifications Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL 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.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 2-4 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. 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. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building


Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. 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. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com