Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 8 and day 59.
At Coupa, jobs usually come down by about day 27.
From 11,556 similar postings that came down, and 15 of Coupa’s. Coming down is not always a hire.
Principal Data Scientist
Bangalore, India
Actively hiring, first seen by us 7 hours ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingWork closely with software engineers to deploy models into a high-throughput, multi-tenant SaaS environment, ensuring robust model monitoring and lifecycle management.
From the employer’s posting
Advanced Model Development: Research, prototype, and deploy state-of-the-art machine learning models (Time Series Forecasting, Deep Learning, NLP, and GenAI) to extract actionable insights from massive, messy, and complex global supply chain datasets. MLOps & Scalability: Architect highly scalable data pipelines and ML infrastructure. Work closely with software engineers to deploy models into a high-throughput, multi-tenant SaaS environment, ensuring robust model monitoring and lifecycle management. Mentorship & Culture: Serve as the chief technical mentor for the Data Science team. Elevate the team's capabilities through rigorous code reviews, algorithmic design sessions, and championing best practices in data science.
Education & alternatives
What You Will Bring to Coupa - 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.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 2026today
- Recorded sightings
- 1
- Employer says posted
- Jul 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Coupa is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- Docker
- Hadoop
- Kubernetes
- SageMaker
- Spark
- PySpark
- PyTorch
- scikit-learn
- TensorFlow
- XGBoost
Where the posting names them
- Deep expertise in predictive modeling, time-series forecasting, statistical analysis, and modern machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch, XGBoost). - Production-grade programming proficiency in Python, as well as advanced skills in SQL and data manipulation. - Proven track record of leading complex, multi-quarter ML initiatives and successfully deploying models that drive measurable business impact.
- Experience with Big Data technologies and distributed computing frameworks in the Hadoop/Spark ecosystem (e.g., PySpark, Databricks). - Hands-on experience with cloud-native ML infrastructure (AWS SageMaker, Bedrock, containerization via Docker/Kubernetes). - Experience applying Large Language Models (LLMs) and Generative AI to unstructured enterprise data.
- Familiarity with Operations Research concepts (e.g., Linear Programming, Heuristics) and experience building hybrid systems where ML outputs feed into optimization solvers (like Gurobi or CPLEX). - Experience with Big Data technologies and distributed computing frameworks in the Hadoop/Spark ecosystem (e.g., PySpark, Databricks). - Hands-on experience with cloud-native ML infrastructure (AWS SageMaker, Bedrock, containerization via Docker/Kubernetes).
- 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 (e.g., Scikit-Learn, TensorFlow, PyTorch, XGBoost). - Production-grade programming proficiency in Python, as well as advanced skills in SQL and data manipulation.
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa?
- Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
- Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
- Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.
Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.
What You’ll Do
- Technical & Strategic Leadership: Define and drive the long-term technical roadmap for applied Machine Learning within the Supply Chain and Sourcing domains, ensuring alignment with broad product and engineering goals.
- Hybrid ML/OR Systems: Partner deeply with the Operations Research team. Design and build robust predictive models (e.g., demand forecasting, lead-time estimation, supplier risk scoring) that act as direct, high-quality inputs into downstream mathematical optimization algorithms.
- Advanced Model Development: Research, prototype, and deploy state-of-the-art machine learning models (Time Series Forecasting, Deep Learning, NLP, and GenAI) to extract actionable insights from massive, messy, and complex global supply chain datasets.
- MLOps & Scalability: Architect highly scalable data pipelines and ML infrastructure. Work closely with software engineers to deploy models into a high-throughput, multi-tenant SaaS environment, ensuring robust model monitoring and lifecycle management.
- Mentorship & Culture: Serve as the chief technical mentor for the Data Science team. Elevate the team's capabilities through rigorous code reviews, algorithmic design sessions, and championing best practices in data science.
- Cross-Functional Influence: Translate highly ambiguous business problems into structured data science projects. Communicate complex ML concepts, limitations, and trade-offs to non-technical executives, product managers, and key enterprise customers.
What You Will Bring to Coupa
- 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 (e.g., Scikit-Learn, TensorFlow, PyTorch, XGBoost).
- Production-grade programming proficiency in Python, as well as advanced skills in SQL and data manipulation.
- Proven track record of leading complex, multi-quarter ML initiatives and successfully deploying models that drive measurable business impact.
- Strong architectural understanding of integrating Machine Learning systems with downstream software services.
- Excellent executive-level communication skills, with the ability to explain complex statistical concepts to diverse audiences.
- You are a deeply technical ML expert who thinks holistically about end-to-end AI systems, particularly how predictive signals can drive downstream decision-making and optimization.
- You are comfortable operating in a high-autonomy environment, taking concepts from white-board theory to production-grade software.
- You are a force multiplier who loves mentoring others and elevating the engineering and scientific rigor of the entire organization.
- You embody Coupa’s core values: Ensure Customer Success, Focus on Results, and Strive for Excellence.
-
What Will Give You a Competitive Edge (Preferred Qualifications)
- Domain expertise in Supply Chain Management, Logistics, Demand Planning, or Strategic Sourcing.
- Familiarity with Operations Research concepts (e.g., Linear Programming, Heuristics) and experience building hybrid systems where ML outputs feed into optimization solvers (like Gurobi or CPLEX).
- Experience with Big Data technologies and distributed computing frameworks in the Hadoop/Spark ecosystem (e.g., PySpark, Databricks).
- Hands-on experience with cloud-native ML infrastructure (AWS SageMaker, Bedrock, containerization via Docker/Kubernetes).
- Experience applying Large Language Models (LLMs) and Generative AI to unstructured enterprise data.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
At Coupa, we are 100% committed to creating and nurturing an environment that supports your physical, mental, and community well-being. We offer a comprehensive suite of benefits designed to help you and your family thrive:
Global Well-Being Perks (For All Employees Globally)
- Global Wellness Days: Enjoy two designated, company-wide paid wellness days off each year (typically the first Friday in March and the last Friday in September) so the entire global team can unplug, step away, and recharge together .
- Birthday Time-Off: Celebrate your day! Coupa provides a paid day off on your birthday or another day of your choice within your birthday month .
- Volunteer Time Off (VTO): Giving back is in our DNA. We offer 40 hours of paid VTO annually to support the community initiatives and volunteer programs you are passionate about .
- Employee Assistance Program (EAP): Access free, confidential, 24/7/365 counseling and resources for emotional support, work-life solutions, financial advice, legal guidance, and support for new parents .
- Business Travel Protection: Travel with peace of mind. Zurich Travel Assist provides medical, safety, pre-trip planning, and emergency support during any business travel .
- Referral Bonus Program: Share the Coupa experience! Receive generous monetary referral bonuses when you successfully refer talented friends or acquaintances who are hired into open roles .
Please note: In addition to these global well-being perks, Coupa offers highly competitive, location-specific benefits packages (which include comprehensive medical/dental insurance, retirement/pension plans, and life or accident protection) tailored to your primary work location. Your recruiter will walk you through the specific regional benefits package for this role during the interview process.
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
Employment type
Mid-Senior Level
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, India
- Technical & Strategic Leadership: Define and drive the long-term technical roadmap for applied Machine Learning within the Supply Chain and Sourcing domains, ensuring alignment with broad product and engineering goals. - Hybrid ML/OR Systems: Partner deeply with the Operations Research team. Design and build robust predictive models (e.g., demand forecasting, lead-time estimation, supplier risk scoring) that act as direct, high-quality inputs into downstream mathematical optimization algorithms. - Advanced Model Development: Research, prototype, and deploy state-of-the-art machine learning models (Time Series Forecasting, Deep Learning, NLP, and GenAI) to extract actionable insights from massive, messy, and complex global supply chain datasets.
More source context
- Domain expertise in Supply Chain Management, Logistics, Demand Planning, or Strategic Sourcing. - Familiarity with Operations Research concepts (e.g., Linear Programming, Heuristics) and experience building hybrid systems where ML outputs feed into optimization solvers (like Gurobi or CPLEX). - Experience with Big Data technologies and distributed computing frameworks in the Hadoop/Spark ecosystem (e.g., PySpark, Databricks).
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.