Consultancies

Senior Data Science Analyst - OptimusAI

at McKinsey & Company

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

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Compensation: $110,000 – $110,000 USD
City: Denver, Houston
Country: United States

Senior Data Science Analyst at OptimusAI will help energy and materials sector clients unlock productivity through AI. You will collaborate in a 3-6 person multidisciplinary team to apply analytics to energy efficiency, quality, and capacity, and present findings to executive audiences. You will work with product engineers to develop AI-driven products and codify best practices, with strong ownership from day one in a collaborative environment. The role is based in Houston or Denver, with opportunities to travel to client sites.

Digital

Senior Data Science Analyst - OptimusAI

Job ID: 105731

Denver
Houston

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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

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

Your Growth

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.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your qualifications and skills

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.

Industries

High Tech
Metals & Mining
Oil & Gas

+ 2 More

Capabilities

Technology

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity 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 $110,000 - $110,000 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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Job Skill Group - N/A
Job Skill Code - BSDC - Sr. Software Delivery Analyst, Data
Function - Technology
Industry - High Tech;Metals & Mining;Oil & Gas
Post to LinkedIn - Yes
Posted to LinkedIn Date - Fri Nov 14 00:00:00 GMT 2025
LinkedIn Posting City - Houston
LinkedIn Posting State/Province - Texas
LinkedIn Posting Country - United States
LinkedIn Job Title - Senior Data Science Analyst - OptimusAI
LinkedIn Function - Consulting;Information Technology
LinkedIn Industry - Mining & Metals;Oil & Energy
LinkedIn Seniority Level - Not Applicable

Your Impact

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.

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.

QuantumBlack, AI by McKinsey, is the AI arm of our firm which helps clients transform faster, innovate smart, and anticipate the future.

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.

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

Your Growth

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your qualifications and skills

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