McKinsey & Company logo

Senior Data Scientist Scientific AI

McKinsey & Company

NEW YORK, NYJobSeen todaySeen in employer's feed today

Evaluate my fit

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
No compensation found
Location
NEW YORK, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

McKinsey & Company seeks a Senior Data Scientist, Scientific AI, with a master's degree and 5+ years or a PhD and 2+ years of relevant experience, or equivalent experience. The role calls for machine learning expertise across statistical and AI methods, strong programming and analytics-library experience, and the ability to apply machine learning to business problems. Candidates should also bring communication, presentation, advisory, and independent-workstream experience.

Skills & qualifications

RequiredNice to have

Skills

CausalityBayesian StatisticsOptimizationSurvival AnalysisDesign of ExperimentsLongitudinal AnalysisSurrogate ModelsTransformersKnowledge GraphsAgentsGraph Neural NetworksDeep LearningComputer VisionPythonRC++PandasNumPyMatplotlibScikit-LearnStatsmodelsPyMCPyTorchTensorFlowKerasLangChainMachine LearningGitHubProduction CodingObject-Oriented ProgrammingEnd-to-End OwnershipPresentationCommunicationAdvisoryTime Management

Qualifications

Master's or PhD or Equivalent5+ Years Relevant Experience2+ Years Relevant ExperienceResearch Experience

Full job description

  • Boston * Chicago * New Jersey * New York City * Raleigh * San Francisco * Silicon Valley * Southern CaliforniaApply NowApply Later YOUR QUALIFICATIONS AND SKILLS * Master's degree with 5+ years or PhD degree with 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research * ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision * Strong programming experience in python (R, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, stats models, pymc, pytorch/tf/keras, langchain) * Proven experience applying machine learning techniques to solve business problems * Experience with version control (GitHub) * Ability to write production code and object-oriented programming * Proven track record of end-to-end ownership of independent workstreams * Good presentation and communication skills (both verbal and written), with the ability to explain complex analytical concepts to people from other fields/non-technical stakeholders * Proven experience advising external parties and/or functions * Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment Apply NowApply Later Share This JobEqual Opportunity Employment Disclaimer McKinsey & Company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.

Evaluate my fit