Data Scientist - 100% US Remote at Sprinklr
Trenton, NJ 08601
About the Job
Sprinklr is a leading enterprise software company for all customer-facing functions
With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel
Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100.Learn more about our culture and how we make our employees happier throughThe Sprinklr Way.Job DescriptionSprinklr has an exciting opportunity for a Principal Data Scientist to join the Enterprise Analytics team. This person will work on all facets of data modeling, up to and including the design of the tools that the models support. They will engineer the underlying data sources, where needed, to support both analytics and data science models. They will design Al/ML algorithms to develop predictions and recommendations for key areas within the company, including customer purchase likelihood and customer retention
They will also serve as a Product Manager of the model(s), capturing feedback and inputs from stakeholders, and outlining a roadmap for continuous enhancements.This role requires ongoing collaboration with front-line managers all the way to executive leadership. 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, starting with the engineering of the data model to serve as the foundation. Develop and deploy predictive models, recommendation models, etc., to provide future predictions for specified enterprise objectives.Architect the design of the data & models to continuously assess accuracy and retrain at prescribed intervals.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.Maintain exceptional understanding of business KPIs and related business/customer processes to ensure the relevancy of the model.Exhibit excellent communication skills needed to articulate the model’s impact in business terms, whether tofront-line managers or to executive leaders.Design the tool (using PowerBI) that sits on top of the ML model, which is used by management to interpret the predictions/recommendations.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.6+ 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.6+ 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 stakeholdersExperience with data management and having an understanding of data structures as well as data ingestion, blending, transformation and visualization techniques.Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter
At Sprinklr, we passionately, genuinely care
For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.For more information on Sprinklr Benefits around the world, head to to browse our country-specific benefits guides.We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier
Our vision is to be the world’s most loved enterprise software company, ever.We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation
Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world
At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.We invest in our people: At Sprinklr, we believe every human has the potential to be amazing
We empower each Sprinklrite in the journey toward achieving their personal and professional best
For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace
We have continuous learning opportunities available with LinkedIn Learning and more.EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others
We value and celebrate diversity and 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 is an affirmative-action employer
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status
See also Sprinklr’s EEO Policy and EEO is the Law.Compensation Range$134,000 - $178,000 - $223,000The base salary range for this role at minimum, midpoint and maximum is shown above
It is not typical for a candidate to be hired close to or at the maximum of the salary range
At Sprinklr, base pay depends on multiple individualized factors, including experience, qualifications, job-related knowledge and skills, and geographic location. Base pay also depends on the relative experience, knowledge, skills to our internal peers in the role. Base pay is only one part of our competitive Total Rewards package: the successful candidate may also be eligible to participate in Sprinklr’s discretionary bonus plan, commission plan and/or equity plan, depending on role.US-based Sprinklr employees are eligible for a highly competitive benefits package as well, which demonstrates our commitment to our employees’ health, well-being, and financial protection. The US-based benefits include a 401k plan with 100% vested company contributions, flexible paid time off, holidays, generous caregiver and parental leaves, life and disability insurance, and health benefits including medical, dental, vision, and prescription drug coverage.SummaryLocation: United States - Texas - Remote; United States - Washington DC - Remote; United States - Wisconsin - Remote; United States - West Virginia - Remote; United States - Virginia - Remote; United States - Vermont - Remote; United States - Florida - Remote; United States - Tennesee - Remote; United States - Maryland - Remote; United States - South Dakota - Remote; United States - South Carolina - Remote; United States - Rhode Island - Remote; United States - Pennsylvania - Remote; United States - Oklahoma - Remote; United States - Ohio - Remote; United States - North Dakota - Remote; United States - North Carolina - Remote; United States - New York - Remote; United States - New Jersey - Remote; United States - New Hampshire - Remote; United States - Nebraska - Remote; United States - Missouri - Remote; United States - Mississippi - Remote; United States - Minnesota - Remote; United States - Michigan - Remote; United States - Massachusetts - Remote; United States - Maine - Remote; United States - Louisiana - Remote; United States - Kentucky - Remote; United States - Kansas - Remote; United States - Iowa - Remote; United States - Indiana - Remote; United States - Illinois - Remote; United States - Georgia - Remote; United States - Delaware - Remote; United States - Connecticut - Remote; United States - Arkansas - Remote; United States - Alabama - RemoteType: Full time
With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel
Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100.Learn more about our culture and how we make our employees happier throughThe Sprinklr Way.Job DescriptionSprinklr has an exciting opportunity for a Principal Data Scientist to join the Enterprise Analytics team. This person will work on all facets of data modeling, up to and including the design of the tools that the models support. They will engineer the underlying data sources, where needed, to support both analytics and data science models. They will design Al/ML algorithms to develop predictions and recommendations for key areas within the company, including customer purchase likelihood and customer retention
They will also serve as a Product Manager of the model(s), capturing feedback and inputs from stakeholders, and outlining a roadmap for continuous enhancements.This role requires ongoing collaboration with front-line managers all the way to executive leadership. 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, starting with the engineering of the data model to serve as the foundation. Develop and deploy predictive models, recommendation models, etc., to provide future predictions for specified enterprise objectives.Architect the design of the data & models to continuously assess accuracy and retrain at prescribed intervals.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.Maintain exceptional understanding of business KPIs and related business/customer processes to ensure the relevancy of the model.Exhibit excellent communication skills needed to articulate the model’s impact in business terms, whether tofront-line managers or to executive leaders.Design the tool (using PowerBI) that sits on top of the ML model, which is used by management to interpret the predictions/recommendations.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.6+ 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.6+ 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 stakeholdersExperience with data management and having an understanding of data structures as well as data ingestion, blending, transformation and visualization techniques.Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter
At Sprinklr, we passionately, genuinely care
For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.For more information on Sprinklr Benefits around the world, head to to browse our country-specific benefits guides.We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier
Our vision is to be the world’s most loved enterprise software company, ever.We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation
Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world
At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.We invest in our people: At Sprinklr, we believe every human has the potential to be amazing
We empower each Sprinklrite in the journey toward achieving their personal and professional best
For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace
We have continuous learning opportunities available with LinkedIn Learning and more.EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others
We value and celebrate diversity and 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 is an affirmative-action employer
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status
See also Sprinklr’s EEO Policy and EEO is the Law.Compensation Range$134,000 - $178,000 - $223,000The base salary range for this role at minimum, midpoint and maximum is shown above
It is not typical for a candidate to be hired close to or at the maximum of the salary range
At Sprinklr, base pay depends on multiple individualized factors, including experience, qualifications, job-related knowledge and skills, and geographic location. Base pay also depends on the relative experience, knowledge, skills to our internal peers in the role. Base pay is only one part of our competitive Total Rewards package: the successful candidate may also be eligible to participate in Sprinklr’s discretionary bonus plan, commission plan and/or equity plan, depending on role.US-based Sprinklr employees are eligible for a highly competitive benefits package as well, which demonstrates our commitment to our employees’ health, well-being, and financial protection. The US-based benefits include a 401k plan with 100% vested company contributions, flexible paid time off, holidays, generous caregiver and parental leaves, life and disability insurance, and health benefits including medical, dental, vision, and prescription drug coverage.SummaryLocation: United States - Texas - Remote; United States - Washington DC - Remote; United States - Wisconsin - Remote; United States - West Virginia - Remote; United States - Virginia - Remote; United States - Vermont - Remote; United States - Florida - Remote; United States - Tennesee - Remote; United States - Maryland - Remote; United States - South Dakota - Remote; United States - South Carolina - Remote; United States - Rhode Island - Remote; United States - Pennsylvania - Remote; United States - Oklahoma - Remote; United States - Ohio - Remote; United States - North Dakota - Remote; United States - North Carolina - Remote; United States - New York - Remote; United States - New Jersey - Remote; United States - New Hampshire - Remote; United States - Nebraska - Remote; United States - Missouri - Remote; United States - Mississippi - Remote; United States - Minnesota - Remote; United States - Michigan - Remote; United States - Massachusetts - Remote; United States - Maine - Remote; United States - Louisiana - Remote; United States - Kentucky - Remote; United States - Kansas - Remote; United States - Iowa - Remote; United States - Indiana - Remote; United States - Illinois - Remote; United States - Georgia - Remote; United States - Delaware - Remote; United States - Connecticut - Remote; United States - Arkansas - Remote; United States - Alabama - RemoteType: Full time
