Data Scientist - People Operations

McKinsey & Company, Inc.; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 113,000 - 117,000; Full time

Job summary

McKinsey & Company in the United States is seeking a data scientist to develop data-driven solutions for clients and internal teams. You will work across data science, data engineering, and product management to deliver impactful analytics assets.

Responsibilities include building scalable ML models, writing efficient code, and collaborating in a multidisciplinary setting with consultants, engineers, and designers. Travel may be required based on project needs.

Qualifications

• Bachelor’s or advanced degree in engineering, computer science, statistics, data science, or industrial organizational psychology; master’s degree is a plus with less than 2 years of work experience
• 1+ years of professional experience as a data analyst or data scientist
• Programming experience in at least two of the following languages: R, Python, Scala, SQL
• Experience in statistical modelling and machine learning techniques
• Experience in applying advanced analytics and statistical methods in the commercial world
• Experience in software development environment (.Net, Java etc) is desirable but not a requisite
• Consulting experience preferred especially within people analytics space
• Willingness to travel and co-locate depending on product and initiative needs
• Entrepreneurial mindset and self-starter to operate in a fast-paced environment and build a strong network across the practice
• Expertise in communicating analytical and technical concepts to both technical and non-technical colleagues alike

Responsibilities

• Develop data science products and solutions for clients and internal teams
• Write highly optimized code to advance our internal Data Science Toolbox
• Collaborate in a multidisciplinary environment with data scientists, engineers, designers, and product managers

Skills

Python

R

Scala

SQL

Machine Learning

Statistics

Data Visualization

Education

Bachelor’s or advanced degree in engineering, computer science, statistics, data science, or IO psychology

Tools

.NET

Java

Job description

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.

YOUR IMPACT

You will work with other data scientists, data engineers, machine learning engineers, designers and product managers to innovate alongside clients and CSTs to develop new solutions or enhance existing assets. This will involve leveraging advancement mathematics, stats and machine learning to derive structure and knowledge from raw data sets across various industry sectors that will enable solutions for many clients and amplify impact across a broad range of issues. You will work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems. You will develop impactful data science products and solutions for clients, write highly optimized code to advance our internal Data Science Toolbox, and work in a multidisciplinary environment with specialists in machine learning, data and software engineering, and design teams.

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

• Bachelor’s or advanced professional degree in engineering, computer science, statistics, data science, or industrial organizational psychology; master’s degree is a plus with less than 2 years of work experience
• 1+ years of professional experience as a data analyst or data scientist
• Programming experience in at least two of the following languages: R, Python, Scala, SQL
• Experience in statistical modelling and machine learning techniques
• Experience in applying advanced analytics and statistical methods in the commercial world
• Experience is software development environment (.Net, Java etc) is desirable but not a requisite
• Consulting experience preferred especially within people analytics space
• Willingness to travel and co-locate depending on product and initiative needs
• Entrepreneurial mindset and self-starter to step into a fast-paced and dynamic environment and ready to build a strong network across the practice
• Expertise in communicating analytical and technical concepts to both technical and non-technical colleagues alike

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.To help you understand what you can expect, the salary range for new joiners in this role in United States, including all office locations where the job may be performed, is $112,900 - $116,500 USD gross per year. 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 importantto remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our currentorganizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretionand 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.