Principal Data Scientist

Posted Yesterday
50 Locations
In-Office or Remote
161K-222K Annually
Senior level
Digital Media • Software • Analytics
The Role
Lead customer implementations of enterprise AI and machine learning solutions for supply chain planning. Design, prototype, test, and deploy forecasting, demand sensing, inventory optimization, and predictive analytics models. Partner with enterprise clients and executives, mentor data science teams, apply MLOps best practices, and integrate custom models into the o9 platform. The role requires deep expertise in time-series forecasting, mathematical optimization, machine learning, and supply chain analytics.
Summary Generated by Built In

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster.

This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.

We are seeking an experienced Principal Supply Chain Data Scientist with deep technical mastery in time series forecasting and predictive analytics to join our US Delivery & Solutions team. In this role, you will lead the customer implementations including the architecture, design/development, and deployment of state-of-the-art forecasting and demand sensing algorithms that drive multi-billion-dollar supply chain decisions for Fortune 500 clients. 


What you’ll do for us 

  • Technical Leadership & Delivery: Lead the end-to-end discovery, architectural design, prototyping, testing, and deployment of enterprise-grade AI/ML models (e.g., demand sensing, stochastic modeling, inventory and revenue optimization).
  • Strategic Client Partnership: Work directly with enterprise clients, solution architects, and executive stakeholders to translate complex supply chain challenges into high-value machine learning solutions.
  • Team Development: Mentor and guide cross-functional teams of data scientists and analytics consultants, maintaining high coding standards, modular design, and MLOps best practices.
  • AI Innovation: Leverage the latest advancements in GenAI, deep learning, time-series forecasting, and mathematical optimization to drive continuous product and client success.
  • Cross-Functional Collaboration: Partner with data engineering and project management teams to integrate custom analytical models seamlessly into the o9 Enterprise Knowledge Graph platform.

What you’ll have

  • Experience: 8+ years of experience in Data Science and Analytics with a proven track record as a technical lead delivering customer-facing solutions.
  • Education: Master’s or Ph.D. preferred (or Bachelor’s with equivalent experience) in Operations Research, Computer Science, Statistics, Data Analytics, Engineering, or Supply Chain.
  • Domain Expertise: Deep knowledge of applied machine learning in supply chain planning (e.g., demand planning, price/assortment optimization, inventory management, or network optimization).
  • Technical Stack:
    • Advanced proficiency in Python and SQL.
    • Modern ML/DL frameworks (PyTorch, TensorFlow, Scikit-Learn).
    • Scaled data platforms (Databricks, Snowflake, Spark, AWS/GCP/Azure).
    • Expertise in time-series analysis, mathematical optimization, ensemble methods, and neural networks.
  • Communication: Exceptional storytelling and stakeholder management skills; ability to articulate complex mathematical concepts to business executives.
This position at o9 Solutions has an annual salary range of $161,304-$221,792. Additionally, you may be eligible to participate in our medical, retirement, and other company-sponsored benefits.**The above information reflects the expected base salary range, although the lower and upper bounds may vary based on location, skills, experience, certifications, licenses, or other relevant factors.

More about us… 

At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations.

With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value.

o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!

Skills Required

  • 8+ years of experience in Data Science and Analytics
  • Proven track record as a technical lead delivering customer-facing solutions
  • Deep knowledge of applied machine learning in supply chain planning, including demand planning, price or assortment optimization, inventory management, or network optimization
  • Advanced proficiency in Python and SQL
  • Proficiency with PyTorch, TensorFlow, and Scikit-Learn
  • Experience with Databricks, Snowflake, Spark, and AWS, GCP, or Azure
  • Expertise in time-series analysis, mathematical optimization, ensemble methods, and neural networks
  • Exceptional storytelling and stakeholder management skills
  • Ability to articulate complex mathematical concepts to business executives
  • Master's or Ph.D. in Operations Research, Computer Science, Statistics, Data Analytics, Engineering, or Supply Chain
  • Bachelor's degree in a related field with equivalent experience

o9 Solutions Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about o9 Solutions and has not been reviewed or approved by o9 Solutions.

  • Fair & Transparent Compensation — Pay is often characterized as fair or market-aligned, with multiple statements expressing satisfaction with salary levels. Compensation appears competitive in certain roles and departments, contributing to a generally acceptable pay experience for many.
  • Leave & Time Off Breadth — Time-off offerings are described as generous, including PTO and, in some places, unlimited PTO framing. Flexibility around time off is positioned as a meaningful component of the overall rewards package.
  • Parental & Family Support — Family-oriented benefits are described as a notable strength, including parental leave and childcare-related supports such as FSAs, vouchers, and breastfeeding benefits in some locations. External recognition tied to working-parent support reinforces the perception of family benefits as a differentiator.

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The Company
HQ: Dallas, TX
920 Employees

What We Do

O9 Solutions is a cloud-based business management platform powering digital transformations of integrated planning and operations.

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