Senior Data Scientist - Periscope

McKinsey & Company -
Bengaluru, Karnataka

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Job details

Qualifications

CI/CD
Statistics
Power BI
Azure
Doctoral degree
Computer Science
NumPy
Git
Tableau
Master's degree
Pandas
AWS
Math
Docker
Machine learning
Continuous integration
GitHub
Data science
Data visualization
GitLab
Python
Analytics

Full job description

Job ID: 104435

Bengaluru

Gurugram

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 be responsible for developing deep Retail domain understanding in at least one of the following areas –Customer Analytics, Pricing Optimization, Inventory Management, E-commerce, or Digital Transformation.

You will collaborate with business stakeholders, engineers, and internal teams to build and implement extraordinary retail focused data products (reusable assets) and solutions, delivering them directly to the client with the utmost importance.

You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact and guide global companies through data science solutions to transform their businesses and enhance performance across industries including E-commerce, Grocery, F&B and CPG.

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

Masters's or PhD degree in computer science, engineering or mathematics, or equivalent experience

6+ years of relevant experience with strong foundations of statistics and machine learning techniques

Proven experience applying machine learning techniques to solve business problems

Proven experience in translating technical methods to non-technical stakeholders

Proven experience writing production-grade code (Python / Pyspark) for machine learning in a professional setting

Strong understanding of analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, kedro, mlflow)

Experience in any cloud platforms (AWS, Azure, or GCP)

Familiarity with containerization technologies (Docker, Docker-compose)

Experience with Git-based workflows and automation frameworks, specifically GitHub Actions and GitLab CI/CD

Familiarity or hands-on experience with data visualization tools (PowerBI, Tableau, etc.)

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.

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