Principal Data Scientist - 11771

Lever, Inc.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Global Well-Being Perks

Global Wellness Days

BirthdayTime-Off

VolunteerTimeOff (VTO)

Employee Assistance Program (EAP)

Business Travel Protection

Referral Bonus Program

Job summary

Coupa is seeking a senior ML leader to define the long-term technical roadmap for applied ML within Supply Chain and Sourcing. You will partner with the Operations Research team to design robust predictive models that feed downstream optimization algorithms.

You will mentor the Data Science team, drive scalable ML infrastructure, and translate complex ideas to executives and product managers, enabling measurable business impact.

Qualifications

• Ph.D. or Master’s degree in Data Science, CS, Statistics, Mathematics or related field.
• 8+ years of industry experience building and deploying ML models.
• Deep expertise in predictive modeling, time-series forecasting, and modern ML frameworks (Scikit-Learn, TensorFlow, PyTorch, XGBoost).

Responsibilities

• Define and drive long-term ML roadmap for Supply Chain and Sourcing.
• Design and build robust predictive models used in optimization.
• Research, prototype, and deploy state-of-the-art ML models (Time Series, NLP, GenAI).
• Architect scalable ML infrastructure and pipelines for multi-tenant SaaS.
• Mentor Data Science team and promote best practices in data science.
• Translate business problems into structured data science projects and communicate with executives.

Skills

ML Leadership

Python Pro

MLOps

Executive communication

End-to-End AI

Strategic thinking

Education

PhD or MS in Data Science/CS/Stats

Tools

Scikit-Learn

TensorFlow

PyTorch

XGBoost

Python

SQL

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)

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 daysoffeach 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.
• BirthdayTime-Off:Celebrate your day!Coupa provides a paid dayoffon yourbirthdayor another day of your choice within yourbirthdaymonth.
• VolunteerTimeOff(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.

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