Senior Data Science Analyst - OptimusAI

McKinsey & Company; Denver (CO); Hybrid; USD 99,000 - 121,000; Full time

Benefits offered by this job

Comprehensive health coverage

Competitive salary

Generous retirement contributions

Job summary

McKinsey & Company is seeking a Senior Data Science Analyst to join their OptimusAI team in Denver or Houston. This role involves using AI to enhance productivity in the Energy and Materials sector while collaborating with a diverse team. Successful candidates must possess a relevant degree and demonstrate advanced analytical skills, alongside a strong capability in Python coding and cloud computing.

You will receive mentorship and world-class training, as well as experience significant ownership from day one. Competitive salary and benefits package includes comprehensive health coverage and retirement contributions.

Qualifications

• 3+ years of relevant professional experience in advanced analytics, ideally in heavy industry.
• Ability to apply and advise on analytics and machine learning techniques.
• Willingness to travel for assignments.

Responsibilities

• Collaborate in a team to enhance client performance using AI.
• Communicate findings to executive audiences.
• Develop products and algorithms for client needs.

Skills

Clean code in Python

Advanced analytics experience

Strong problem-solving skills

Interpersonal communication

Education

Degree in computer science, statistics, or engineering

Tools

AWS

GCP

Azure

Job description

Location: Denver or Houston (within McKinsey's manufacturing AI solution – OptimusAI).

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. You will collaborate in a dynamic, cross‑disciplinary team of 3‑6 experts, using your creativity and analytics expertise to enhance client performance in areas such as energy efficiency, product quality, and capacity. Your work will be side‑by‑side with client process engineers and analytics specialists, and you will communicate findings and solutions to executive audiences.

You will also partner with internal product engineers to develop innovative products and algorithms that address current and future client needs, codify best practices, amplify our impact, and shape the product roadmap.

Throughout the engagement you will receive world‑class training in business problem structuring and client advisory, and you will work closely with senior manufacturing and analytics experts. You will experience rapid career growth with significant ownership and responsibility from day one in a collaborative, diverse, and non‑hierarchical environment, and you may travel to client sites locally and worldwide.

YOUR GROWTH

Driving lasting impact and building long‑term capabilities with our clients requires a high‑performance, high‑reward mindset – doing hard things, learning from setbacks, and persisting with resilience. In return for your drive, determination, and curiosity, we provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever imagined.

• 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.
• A voice that matters: From day one, we value your ideas and contributions. You will make a tangible impact by offering innovative ideas and practical solutions while upholding our commitment to ethics and integrity.
• Global community: With colleagues across 65+ countries and over 100 nationalities, our firm’s diversity fuels creativity and helps us deliver the best solutions for our clients.
• World‑class benefits: In addition to a competitive salary (based on location, experience, and skills), we provide a comprehensive benefits package to support your holistic well‑being.

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 heavy industry.
• Ability to write clean and efficient code in Python; experience with cloud computing resources (e.g., AWS, GCP, Azure) is preferred.
• 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 and within scope.
• Willingness to travel to other offices and/or client locations for short/long‑term assignments.
• Strong interpersonal communication skills; experience facilitating discussions with leadership.

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.

Salary estimate for this role in the United States ranges from $110,000 to $110,000 USD. This reflects our best estimate of the lowest to highest salary at the time of this posting. Actual salaries may vary based on location, experience, and other factors.

An extensive benefits package 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.