Job Description

Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale -- across every customer touchpoint.
By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr's unified platform provides powerful solutions for every customer-facing team -- spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management -- enabling enterprises to unify data, break down silos, and act on real-time insights.
Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.

This role requires ongoing collaboration with front-line managers all the way to executive leadership, across all functional pillars of Sprinklr. Therefore, candidates need exceptional communication skills combined with a deep understanding of the business.
This role will take that insight from business processes and customer relationships to further enhance existing models.

• Lead and manage the full lifecycle of data science and AI solutions, starting with the engineering of the data model to serve as the foundation.
• Develop and deploy predictive models, recommendation models, and other solutions to provide timely insights, recommendations and predictions.
• Work closely with engineers, data scientists and analysts within the BI team, and collaborate cross-functionally with other colleagues and stakeholders throughout the organization.
• Maintain exceptional understanding of business KPIs and related business/customer processes to ensure the relevancy of the model.
• Continuously seek out additional data points that can be leveraged to improve accuracy and applicability of the model's results.
• Work with leaders, product engineers and user experience researchers to understand customer data and explore opportunities to turn qualitative data into quantitative data for use in recommendation models.
• Exhibit excellent communication skills needed to articulate the model's impact in business terms, whether to front-line managers or to executive leaders.
• Create and maintain dashboards and interfaces using PowerBI to provide access and interactive capabilities to the model's recommendations and insights.
• Leverage and test multiple methodologies for advanced analysis projects (predictive models, clustering / segmentation, etc.), with the intent to select one that yields the most accurate approach.
• Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e. g., predictive models, LTV, propensity models).
• Mentor team members on data and analytical projects, or on cross-functional teams

Requirements:

• Masters or PhD in a field that is emphasized in building and maintaining machine learning models that help drive insights, along with thought leadership in the data science field.
• 5+ years of work experience in the field of Data Science, building and delivering machine learning / AI algorithms for classification, regression, clustering, time series forecasting, topic modeling, anomaly detection etc.
• 5+ years of work on articulating the value of the models, correlating how the model addresses business needs, and ensuring that the models are delivering insights that drive the business.
• Experience with Snowflake (Snowpark is a plus)
• Advanced experience with Python, R, SQL, and any other related programs for executing the above responsibilities.
• Experience in working with Sales, Finance, Marketing, Consumption and Operational data.
• Experience in building data visualization reports and dashboards as a key deliverable for Executives and Stakeholders to utilize the results of the models.
• Strong project and stakeholder management skills.
• Advanced presentation skills to share key insights with executives, senior leadership and business stakeholders
• Experience with data management and having an understanding of data structures as well as data ingestion, blending, transformation and visualization techniques.

We focus on our mission: Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data -- helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights. Sprinklr is here to do three things:
Lead a new category of enterprise software that we call Unified-CXM.
Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience.
Create a culture of customer obsession, with trust, teamwork, and accountability.
We believe in our product: Customers who value exceptional customer experiences have what they need on our single unified platform, built with an operating system approach on a single codebase. That means that everything -- and everyone -- can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world's leading enterprise brands.
We invest in our people: We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off - it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus.
To learn more about employee benefits by region, .
To learn more about all-things-Sprinklr, visit our candidate resource hub .
EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal-opportunity workplace and complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law.
Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter.
Warning about Recruiting Scams: Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment, or for unnecessary personal information during the interview process. Sprinklr will also never pay in Bitcoin or send email communications from our executives. Please the Federal Trade Commission's advice to avoid these types of scams.
If you are contacted by someone whom you suspect may not be appropriately representing Sprinklr, please do not engage and block their email or phone number immediately.

Skills Required