Senior Data Scientist

Job Overview

Senior Data Scientist – Enterprise Business Intelligence team. The Senior Data Scientist will work on data model engineering, semantic modeling, and the tools and interfaces that support it. The role focuses on predictive capabilities, natural language modeling, and AI, ensuring responsible, ethical, trustworthy, and compliant use cases. The Senior Data Scientist also serves as Product Manager of the data science and AI models, capturing stakeholder feedback to drive the BI Team’s roadmap.

• Lead and manage the full lifecycle of data science and AI solutions, from data model engineering to deployment.
• Design and develop predictive, recommendation, and other models to provide timely insights, recommendations, and predictions.
• Collaborate cross‑functionally with engineers, data scientists, analysts, and stakeholders across the organization.
• Maintain deep understanding of business KPIs and processes to ensure model relevance.
• Continuously seek additional data points that can improve model accuracy and applicability.
• Work with leaders, product engineers and user experience researchers to convert qualitative data into quantitative data for recommendation models.
• Communicate model impact in business terms to front‑line managers and executive leaders.
• Create and maintain dashboards and interfaces using Power
  
  BI to provide interactive access to model recommendations and insights.
• Leverage and test multiple advanced analysis methodologies (predictive models, clustering/segmentation, etc.) to select the most accurate approach.
• Apply analytical rigor and statistical methods to analyze large datasets, extracting actionable insights using techniques such as data mining, optimization, and machine learning.
• Mentor team members on data and analytical projects.

• Master’s or PhD in a field relevant to building and maintaining machine learning models.
• 5+ years of experience building and delivering machine learning / AI algorithms (classification, regression, clustering, time series forecasting, topic modeling, anomaly detection, etc.).
• 5+ years of experience articulating the value of models, correlating how they address business needs, and ensuring they deliver actionable insights.
• Experience with Snowflake (Snowpark is a plus).
• Advanced proficiency in Python, R, SQL, and related technologies for model development and execution.
• Experience working with Sales, Finance, Marketing, Consumption, and Operational data.
• Experience building data visualization reports and dashboards for executives and stakeholders.
• Strong project and stakeholder management skills.
• Advanced presentation skills to share key insights with executives, senior leadership, and business stakeholders.
• Understanding of data structures, ingestion, blending, transformation, and visualization techniques.
• Current and unrestricted work authorization in the country where the role is based; visa sponsorship is not available.

The US‑based benefits include a 401(k) plan with 100% vested company contributions, flexible paid time off, holidays, generous caregiver and parental leaves, life and disability insurance, and comprehensive medical, dental, vision, and prescription drug coverage. Additional benefits and resources are available by region.

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, gender, national origin, sexual orientation, age, disability, or other protected characteristics. Reasonable accommodations are available upon request during the interview process.