Senior Data Scientist at o9 Solutions

Job description

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 We are looking for a Sr. Data Scientist with strong expertise in Retail Demand Forecasting and Supply Chain Analytics. In this role, you will design and implement advanced machine learning and statistical models to improve forecasting accuracy and enable intelligent decision-making for global retail organizations. You will collaborate with cross-functional teams including clients, solution architects, consultants, and data engineers to build scalable AI/ML solutions that drive measurable business impact. What You’ll Do ● Apply a variety of machine learning and statistical techniques such as clustering, regression, ensemble learning, neural networks, time series forecasting, and optimization models. ● Develop and optimize demand sensing and demand forecasting models using techniques such as heuristic models, ARIMA, Prophet, exponential smoothing, and custom approaches. ● Build advanced analytics solutions for simulation, stochastic modeling. ● Leverage the latest advancements in AI and Machine Learning to solve complex business problems. ● Analyze complex datasets, evaluate alternative analytical approaches, and clearly articulate recommendations with underlying assumptions. ● Work with business metrics such as Forecast Accuracy, Bias, MAPE, and develop new performance metrics when required. ● Develop modules and APIs for real-time integration with external systems via web services. ● Collaborate closely with clients, project managers, solution architects, consultants, and data engineers to ensure successful project delivery. What You’ll Bring Experience ● 4 years of experience in time series forecasting at scale, preferably in retail or supply chain domains. ● Hands-on experience with hierarchical forecasting and heuristic-based best-fit models using algorithms such as LightGBM, ARIMA, Prophet, and exponential smoothing. ● Experience in applied analytics within supply chain planning, including demand planning, supply planning, market intelligence, inventory optimization, and pricing strategies. Education ● Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, Engineering, or related field. Technical Skills ● Proficiency in Python for data science and machine learning. ● Deep knowledge of statistical modeling and machine learning algorithms. ● Experience in feature engineering, model tuning, validation, and building scalable ML frameworks. ● Ability to identify and collect relevant input data for model development. Professional Skills ● Strong analytical thinking and problem-solving skills. ● Excellent communication and presentation skills. ● Ability to work independently while collaborating effectively in team environments. Team Culture ● We value transparency, open communication, and strong team collaboration. At o9, teamwork goes beyond hierarchy, geography, and functions. Nice to Have ● Experience with SQL, databases, and ETL tools. ● Exposure to distributed computing technologies such as Hadoop, Hive, Spark, MapReduce. ● Experience implementing planning or supply chain applications. ● Understanding of supply chain concepts and retail planning processes. ● Master’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related fields. What We Offer ● Competitive compensation with stock options for eligible candidates. ● Flat organization structure with a strong entrepreneurial culture and minimal corporate politics. ● Opportunity to work with highly talented teams solving complex global supply chain challenges. ● Opportunities for onsite travel during key project phases. ● A strong learning environment with continuous mentorship and collaboration. ● A diverse and inclusive international workplace culture. ● A strong focus on work-life balance and employee well-being. Work-Life Balance: youtu.be shared Feel Part of a Team: youtu.be shared 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!

Requirements

Must-haves

Transforming the Future of Enterprise Planning
We are looking for a Sr. Data Scientist with strong expertise in Retail Demand Forecasting and
Supply Chain Analytics. In this role, you will design and implement advanced machine learning and
statistical models to improve forecasting accuracy and enable intelligent decision-making for global retail
organizations.
You will collaborate with cross-functional teams including clients, solution architects, consultants, and
data engineers to build scalable AI/ML solutions that drive measurable business impact.
What You’ll Do
Apply a variety of machine learning and statistical techniques such as clustering, regression,
ensemble learning, neural networks, time series forecasting, and optimization models.
Develop and optimize demand sensing and demand forecasting models using techniques
such as heuristic models, ARIMA, Prophet, exponential smoothing, and custom approaches.
Build advanced analytics solutions for simulation, stochastic modeling.
Leverage the latest advancements in AI and Machine Learning to solve complex business
Analyze complex datasets, evaluate alternative analytical approaches, and clearly articulate
recommendations with underlying assumptions.
Work with business metrics such as Forecast Accuracy, Bias, MAPE, and develop new
performance metrics when required.

Nice-to-haves

Experience with SQL, databases, and ETL tools.
Exposure to distributed computing technologies such as Hadoop, Hive, Spark, MapReduce.
Experience implementing planning or supply chain applications.
Understanding of supply chain concepts and retail planning processes.
Master’s degree in Computer Science, Applied Mathematics, Statistics, Engineering,
Business Analytics, Operations, or related fields.

Application prep

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Keywords to mirror

aimachine learningmlpythonsql

Platform: workday
Effort: long

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