Job Description

As a Principal Data Scientist I, you will tackle complex data challenges, develop advanced models, and create impactful solutions to optimize client performance across diverse industries. You will mentor others, contribute to cutting-edge R&D, and collaborate with world-class talent in a dynamic environment that fosters innovation and growth.

Requirements

Bachelors, Masters or PhD level in a discipline such as computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
8-11+ years of deep technical experience in distributed computing, machine learning and statistics related work
Programming experience in languages such as Python, R, Scala, SQL
Knowledge of distributed computing or NoSQL technologies is a plus
Proven application of advanced analytical, data science and statistical methods in the commercial world
Client-facing skills (e.g. working in close-knit teams on topics such as data warehousing, machine learning)
Thought leadership or people leadership experience (e.g. managed project teams or direct reports)
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
Good presentation and communication skills with a knack for explaining complex analytical concepts to people from other fields
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
Willingness to travel

Responsibilities

Tackle complex data challenges and develop advanced models
Create impactful solutions to optimize client performance across diverse industries
Mentor other data scientists and contribute to cutting-edge R&D
Influence client recommendations by developing data science solutions and writing optimized code
Explore data ecosystems and create statistical models to solve operational challenges
Shape QuantumBlack’s R&D roadmap and contribute to deep learning and machine learning research
Collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers
Lead the development and application of cutting-edge machine learning and AI solutions

Benefits

Employees at McKinsey are often offered a comprehensive benefits package, including medical, dental, and vision coverage, prescription benefits, mental-health resources, expert medical opinions, and travel emergency protection. Financial benefits typically include retirement contributions and savings plans, life/accident/disability insurance, tax-advantaged accounts, and financial coaching. Many roles also feature generous paid time off (including volunteering days), flexible/hybrid work options, family care support (parental leave, fertility/adoption/surrogacy assistance, backup care), tuition reimbursement, transportation benefits, discounts, and matching gifts.