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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Science Analyst - OptimusAI - **Company:** McKinsey & Company - **Location:** Brussels, WI, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Monitoring of Systems, Python (Programming Language), Machine Learning, Backtesting, Sentiment Analysis, Supervised Learning, Feature Engineering, Large Language Models, Pandas, Pytest, Scikit Learn, Information Technology, Statistics Packages, Process Control Systems, Data Analytics, Xgboost, K Means, Recurrent Neural Networks, Unsupervised Learning - **Published:** July 22, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p6l8om6qxn ## About the Role * Undergraduate degree * Production-quality Python for model development, including optimization, time series forecasting, feature engineering, backtesting, and evaluation using standard DS toolkits (e.g., pandas, scikit-learn, statsmodels, gradient boosting, etc.) * Familiarity with pytest and reproducible research workflow; experience operationalizing models: versioned experiments, CI/CD, model monitoring and drift detection, and collaboration with engineering on APIs and model/solution design * Experience applying advanced analytical and statistical methods to solve business problems involving commodity markets * Ability to explain commodity market nuances and/or complex analytics approaches and results in layman's terms to executive audiences across commodity trading, operations, supply chain / logistics, and finance / accounting functions Preferred experience (all not expected): * Advanced degree in a quantitative discipline (computer science, applied mathematics, economics, quantitative finance, engineering) or equivalent practitioner experience * 2+ years' experience in commodity markets developing market research, trading, or hedging/risk management strategies such as netback/deal economics, signal backtesting, stress testing, and/or hedge effectiveness * 2+ years' experience in physical/cash markets of metals, power/electricity markets, natural gas, crude oil, refined products, and/or ocean freight * 2+ years' experience applying time series analysis of mean-reverting and cointegrated commodity prices/premiums (e.g., ARIMA, VECM, GARCH), supervised learning (e.g., SVM, LSTM, parallel or sequential tree-based models), unsupervised learning (e.g., PCA, K-means clustering), optimization (e.g., LP/MILP and stochastic models), and/or NLP sentiment analysis * 6+ months' experience with LLM-based analytics in enterprise settings (e.g., document/comms extraction, RAG, evaluation/guardrails) * Experience integrating data science and/or automation workflows with CTRM/ETRM systems via API * Experience automating middle/back-office processes with PRA and LLMs (e.g., pre-trade KYC/credit, trade execution, compliance, logistics, trade settlement) ## Description As a Data Science Specialist, you'll collaborate in a dynamic, multi-disciplinary team of 3-6 experts, using your creativity and analytics expertise to drive client performance in areas like energy efficiency, product quality, and capacity. You'll work side-by-side with client process engineers and analytics specialists, presenting your insights directly to executive audiences. Internally, you'll partner with our talented product engineers to develop innovative products and algorithms that address both current and future client needs. You'll play a key role in codifying best practices, amplifying our impact both inside and outside the firm, and shaping the product roadmap. You'll be based in our Brussels office as part of McKinsey's manufacturing AI solution, OptimusAI, which sits at the intersection of three practices: Global Energy and Materials, QuantumBlack, and Operations. Global Energy and Materials: Advises production and investor companies across chemicals & agriculture, paper & packaging, metals & mining, oil & gas, and power generation on strategic, operational, and growth issues. QuantumBlack, AI by McKinsey: The AI arm of our firm, helping clients transform faster, innovate smarter, and anticipate the future. Operations: Assists clients in solving complex operational challenges by developing and implementing strategies and solutions for their most critical problems-connecting boardroom strategies to shop floor operators. At the intersection of these groups, OptimusAI is a team of ~10 expert consultants, data scientists, and engineers focused on improving processing plant productivity through data analytics. We develop real-time AI advisory systems to support decision making in plant control rooms, optimize process control systems, and unlock plant bottlenecks through data-driven process changes. OptimusAI also supports a global community of consultants by developing an innovative machine learning toolkit and codifying our approach to deliver significant and lasting client impact. You'll benefit from world-class training in business problem structuring and client advisory, working closely with senior manufacturing and analytics experts. Experience unparalleled career growth, with significant ownership and responsibility from day one, all within a collaborative, diverse, and non-hierarchical environment. Plus, seize the opportunity to travel to client sites-locally and around the world. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Logs in observability - Correlation](https://www.wearedevelopers.com/videos/1430-logs-in-observability-correlation) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Automagic Configuration in Python](https://www.wearedevelopers.com/videos/363-automagic-configuration-in-python) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)