Lead Supply Chain Data Scientist

o9 Solutions, Inc.

United States

Hybrid

USD 80,000 - 182,400

Full time

14 days+

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Job summary

A leading enterprise planning platform is seeking a Lead Data Scientist to enhance supply chain decisions through advanced forecasting models using R and Python. The ideal candidate will have over 5 years of experience in data science and supply chain planning, focusing on predictive analytics and model development. The role requires collaboration with various teams to ensure effective model deployment and validation, making it essential for driving insights and improving operational efficiency.

Qualifications

5+ years of experience in data science and analytics.
Strong understanding of supply chain planning.
Experience with predictive analytics in forecasting.

Responsibilities

Design and develop machine learning models for supply chain planning.
Collaborate with cross-functional teams for solution alignment.
Produce insights from complex data sets.

Skills

Python

Machine Learning

Statistical Analysis

SQL

Education

Master’s in Computer Science, Mathematics, Statistics, Economics, Engineering

Tools

Pyspark

Power BI

Tableau

Hadoop

Spark

Job description

Overview

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.

About the role:

o9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to join our global team. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python. These models will have use cases for Demand Planning, Supply Planning, Market Mix Modeling, Price Elasticity, New Product Planning, Store Assortment, Market Optimization, and more.

You will be key in understanding the customers supply chain problems, designing solutions, developing, and deploying models, validating, and maintaining those models.

A successful candidate will bring a Master’s in Computer Science, Mathematics, Statistics, Economics, Engineering, and 5+ years of experience in hands-on modeling in R or Python, in a supply chain forecasting capacity. You will enjoy working directly with customers and our larger o9 Data Science team.

What you’ll do for us:

Research, design, build, deploy, and validate new and existing machine learning models and predictive analytics for advanced forecasting in supply chain demand planning that will drive our customers growth from insights that are allow for better decision making
Apply a variety of machine learning techniques (clustering, regression, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks for insights internally and externally
Collaborate with solution architects, business operations specialists, engineers, data scientists, product managers, and internal/external business teams to make sure the models are aligned with business objectives and customer needs
Develop machine learning models for segmentation and optimization
Provide visualization of complex data sets that includes mathematical models, algorithms, and robust analytics
Produce recommendations and use statistical techniques that answer key product questions
Provide on-going support for development of demand planning forecasting and predictive analysis.
Be a storyteller to explain the “why and how” of your data driven recommendations to cross-functional teams and customers
Guide junior data scientists and oversee their activities to ensure proper alignment/execution of their activities, and maintain high coding standards and best practices within organization

What you’ll bring:

Experience: 5+ years of data science and data analytics experience.
5+ years’ experience in supply chain planning analysis that specialize in: Demand Planning, Predictive Analysis, Demand Forecasting, Supply Planning, Inventory Market Optimization, Store Segmentation, Market Mix Optimization, New Product Planning, or similar.
Experience in building scalable ML frameworks for demand sensing including identifying and collecting relevant input data, feature engineering, tuning, and testing.
Experience developing experimental and analytics plans for data modeling processes with the ability to accurately determine and resolve problems
Experience gathering data requirements for statistical predictive analytics research that drives market research, product innovation, and implementation in a supply chain space
Strong presentation and communications skills with ability to communicate complex analytical or technical concepts to audiences with limited analytical or technical background
Experience in time series forecasting in scale using heuristic based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning
Education: Master’s in Computer Science, Mathematics, Statistics, Economics, Engineering, or related field
Skills: R, Python, Pyspark, Machine Learning, SQL, building models in platforms like Power BI or Tableau
Characteristics: You thrive in a fast paced, challenging environment, where there is much white space and problem solving is at the heart of what drives your analysis
We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function

Preferred Experience…

Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
Experience in implementing planning applications will be a plus

Seniority level