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McKinsey & Company
Job ID: 105731
Denver
Houston
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
As an OptimusAI Senior Data Science Analyst, you will help leading companies across the Energy and Materials sector unlock their full productivity potential using AI.
Collaborating in a dynamic, multi-disciplinary team of 3-6 experts, you will use your creativity and analytics expertise to enhance client performance in areas such as energy efficiency, product quality, and capacity. You will be working side-by-side with the client’s process engineers and analytics specialists and will be communicating your work to executive audiences.
Internally, you will collaborate with our talented product engineers to develop innovative products and algorithms to address current and future client needs. You will help codify best practices, radiate our impact in/externally and shape the product roadmap.
Along the way, you will benefit from world-class training in business problem structuring and client advisory, while working closely with senior manufacturing and analytics experts. You will experience unparalleled career growth with significant ownership and responsibility from day one, all within a collaborative, diverse, and non-hierarchical environment.
You can seize the opportunity to travel to client sites, locally and around the world.
Please submit a cover letter detailing why you are the perfect fit for our team and how you can contribute to our mission!
You will be based in our Houston or Denver office as part of McKinsey’s manufacturing AI solution (OptimusAI), which sits at the intersection of three practices.
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, is the AI arm of our firm which helps clients transform faster, innovate smart, and anticipate the future.
Finally, the Operations Practice which assists our clients in solving complex operational challenges by developing and implementing operational strategies, initiatives, and solutions for their most critical problems, connecting boardroom strategies to the 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 the plant control room, we assess and optimize process control systems, and we unlock plant bottlenecks through data-driven process changes.
OptimusAI supports a global community of consultants by developing an innovative machine learning toolkit and codifying the approach to deliver significant and lasting client impact.
There is flexibility to hire at the Senior Data Science Analyst or Data Science Specialist level, depending on your experience. Salary range $110,000-$110,000
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients.
Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
Degree in a discipline such as computer science, applied statistics, mathematics, analytics, engineering, machine learning or equivalent
3+ years of relevant professional experience in advanced analytics, ideally in the context of heavy industry
Ability to write clean and efficient code in Python; ideally with experience in using cloud computing resources (e.g., AWS, GCP, Azure)
Ability to apply and advise on state-of-the-art analytics, machine learning, and optimization techniques to derive business insights and solve complex problems
Excellent problem-solving skills paired with the ability to develop creative and effective solutions
Ability to thrive in a flexible, multi-disciplinary and agile working environment
Track record of completing projects successfully on time as per scope
Willingness to travel to other offices and/or client locations for short/long term assignments
Strong interpersonal communication skills; experience in facilitating discussions with leadership
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.
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