Data Scientist - POP

Job ID: 109240 Washington DC

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.

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

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.