Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

Are you passionate about leveraging analytics to drive real-world impact? As an OptimusAI Data Science Specialist, 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. Experience unparalleled career growth with significant ownership and responsibility from day one, all within a collaborative, diverse, and non-hierarchical environment. Seize the opportunity to travel to client sites, locally and around the world.

Ready to deliver direct impact on some of the world's largest industrial players? We invite you to submit a cover letter detailing why you are the perfect fit for our team and how you can contribute to our mission!

Your Growth

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: the AI arm of our firm which helps clients transform faster, innovate smart, and anticipate the future.

Operations: 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 shopfloor 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.

Your qualifications and skills

Degree in a discipline such as: computer science, applied statistics, mathematics, analytics, engineering, machine learning or equivalent
4+ 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
Strong interpersonal communication skills; experience in facilitating discussions with leadership
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

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Industries

High Tech
Metals & Mining
Oil & Gas

Capabilities

Technology

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $140,000 - $143,400 USD —to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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Industry - High Tech;Metals & Mining;Oil & Gas
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