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Coupa Themuse · Posted yesterday

Sr. Data Scientist - 11366

India Senior level

Data and Analytics Themuse
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Indexed 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.

The Impact of a Senior Data Scientist to Coupa:

Senior Data Scientists at Coupa support internal teams (primarily product and engineering) by creating and automating machine-language-driven solutions to complex problems. Your work would help improve existing or new machine-language-based product features and would ultimately impact thousands of Coupa customers driving product usage and adoption

What You'll Do

  • As a Data Scientist, you will work with large-scale structured and unstructured datasets to build, deploy, and optimize machine learning and AI models.
  • You will design and automate data pipelines (ETL), improve data quality, develop intelligent systems, and
    contribute to the creation of AI-enabled product features.
  • You will be contributing to the development of concepts, methods and techniques with design ownership over features and functionality

What You Will Bring to Coupa

  • Bachelor's Degree in Computer Science, Analytics, or Statistics (or similar field)
  • 5+ Years Experience with Python (and PySpark), and querying languages such
    as SQL
  • High-level understanding of supervised and unsupervised learning algorithms
  • Hands-on experience building or working with AI/ML models, including exposure
    to modern AI approaches (e.g., NLP, deep learning, or generative AI)
  • 5+ Years Experience working with large datasets - cleaning, processing,
    interpreting, and automating processes
  • Ability to work in ambiguous environments, learn quickly, and apply strong critical
    thinking skills
  • Passion for building AI-driven products and translating business problems into
    intelligent solutions

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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