Principal Data Scientist

Coupa Software

. Define and drive the long-term technical roadmap for applied Machine Learning within Supply Chain and Sourcing .

Posted 9/25/2026full-timeBangalore • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning models, with a strong focus on predictive modeling, time-series forecasting, and deep learning. Proven ability to lead complex ML initiatives and mentor teams while effectively communicating technical concepts to stakeholders.

Highest-signal resume keywords

Machine Learning Model DevelopmentPredictive Modeling ExpertiseProduction-Grade Python ProgrammingSQL Data ManipulationMentoring and Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPredictive ModelingTime-Series ForecastingStatistical AnalysisDeep LearningNLPScikit-LearnTensorFlowPyTorchXGBoost

Soft Skills

Executive-Level CommunicationMentoring AbilityProblem-Solving

Tools & Technologies

AWS SageMakerDockerKubernetesHadoopSparkPySparkDatabricksGurobiCPLEX

Certifications & Qualifications

Ph.D. or Master’s Degree in Data ScienceComputer ScienceStatisticsMathematics

Industry Keywords

Supply Chain ManagementLogisticsDemand PlanningStrategic SourcingOperations Research

Tech Stack

Tools & technologies

AWSDockerHadoopKubernetesPySparkPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

Define and drive the long-term technical roadmap for applied Machine Learning within Supply Chain and Sourcing
Partner with Operations Research teams to design predictive models that feed downstream mathematical optimization algorithms
Research, prototype, and deploy machine learning models for time-series forecasting, deep learning, NLP, and GenAI
Architect scalable data pipelines and ML infrastructure
Collaborate with software engineers to deploy models in a high-throughput, multi-tenant SaaS environment
Ensure robust model monitoring and lifecycle management
Mentor the Data Science team through code reviews, algorithmic design sessions, and best practices
Translate ambiguous business problems into structured data science projects
Communicate ML concepts, limitations, and trade-offs to executives, product managers, and enterprise customers

Requirements

What you’ll need

Ph.D. or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a closely related quantitative field
8+ years of industry experience building and deploying machine learning models in a commercial software environment
Deep expertise in predictive modeling, time-series forecasting, statistical analysis, and modern machine learning frameworks, including Scikit-Learn, TensorFlow, PyTorch, and XGBoost
Production-grade programming proficiency in Python
Advanced skills in SQL and data manipulation
Proven track record leading complex, multi-quarter ML initiatives and deploying models with measurable business impact
Strong architectural understanding of integrating Machine Learning systems with downstream software services
Excellent executive-level communication skills
Deep technical expertise in end-to-end AI systems and predictive signals for decision-making and optimization
Ability to operate autonomously from theory to production-grade software
Mentoring ability and commitment to elevating organizational engineering and scientific rigor
Alignment with Coupa’s core values: Ensure Customer Success, Focus on Results, and Strive for Excellence
Preferred: Domain expertise in Supply Chain Management, Logistics, Demand Planning, or Strategic Sourcing
Preferred: Familiarity with Operations Research concepts such as Linear Programming and Heuristics, and hybrid ML/optimization systems using Gurobi or CPLEX
Preferred: Experience with Hadoop/Spark ecosystem technologies, PySpark, or Databricks
Preferred: Experience with AWS SageMaker, Bedrock, Docker, or Kubernetes
Preferred: Experience applying LLMs and Generative AI to unstructured enterprise data

Benefits

Comp & perks

Two designated company-wide paid wellness days off each year
Paid day off on your birthday or another day of your choice within your birthday month
40 hours of paid Volunteer Time Off annually
Free, confidential, 24/7/365 Employee Assistance Program counseling and resources
Zurich Travel Assist business travel medical, safety, pre-trip planning, and emergency support
Monetary referral bonuses for successful hires
Location-specific comprehensive medical/dental insurance
Location-specific retirement/pension plans
Location-specific life or accident protection