Data Scientist II — AI & Life Sciences Pipelines

McKinsey & Company; Pittsburgh (Allegheny County); On-site; USD 137,500 - 141,700; Full time

Benefits offered by this job

Comprehensive benefits package

Continuous learning opportunities

Global community with diverse colleagues

Job summary

McKinsey & Company is seeking a Data Scientist in Pittsburgh to develop AI and ML models and support the firm's scientific initiatives. The role demands a Master's or PhD and 2+ years of experience in relevant fields. You will contribute to various projects, ensuring analytical validity and working alongside multidisciplinary teams.

The position features a competitive salary ranging from $137,500 to $141,700 annually, depending on experience and location, along with a robust benefits package that supports the holistic well-being of employees.

Qualifications

• 2+ years of relevant experience in statistics, mathematics, or computer science.
• Proven experience in solving business problems using machine learning.
• Ability to communicate technical methods to non-technical stakeholders.

Responsibilities

• Develop AI and machine learning models and pipelines.
• Support client discussions and prototype development.
• Ensure statistical validity and outputs of analytics.

Skills

Statistical analysis

Machine learning techniques

Python programming

Causality and Bayesian statistics

Experience with relevant analytics libraries

Education

Master's or PhD degree

Tools

GitHub

pandas

numpy

matplotlib

scikit-learn

Job description

McKinsey & Company is seeking a Data Scientist in Pittsburgh to develop AI and ML models and support the firm's scientific initiatives. The role demands a Master's or PhD and 2+ years of experience in relevant fields. You will contribute to various projects, ensuring analytical validity and working alongside multidisciplinary teams.

The position features a competitive salary ranging from $137,500 to $141,700 annually, depending on experience and location, along with a robust benefits package that supports the holistic well-being of employees.