QuantumBlack, AI by McKinsey · 3 days ago
Data Scientist II – QuantumBlack, AI by McKinsey (Critical Industries)
Chicago, IL
Full-time
Hybrid
Entry, Mid Level
2+ years expQuantumBlack, AI by McKinsey is focused on driving lasting impact and building long-term capabilities with clients. As a Data Scientist II, you will collaborate with clients to develop advanced analytics and AI solutions, tackle complex business challenges, and contribute to projects across various industries.
AnalyticsArtificial Intelligence (AI)ConsultingData VisualizationInformation TechnologySoftwareSoftware Engineering
No H1B
U.S. Citizen Only
Responsibilities
Translate business questions into analytical approaches and select the right techniques for each problem
Conduct exploratory data analysis
Design, implement, and evaluate models—from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you’ll build production-grade RAG pipelines and assess LLM output quality / hallucinations
Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications
Build models which are accurate, explainable, and free from bias
Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML
Qualification
Required
U.S. Citizenship is required (this role must be able to be staffed on Critical Industries work which includes Defense, Aerospace, Utilities, etc.)
Bachelor's degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
Development experience (focus on machine learning): SQL and Python's data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients' stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
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
Preferred
GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
Benefits
World-class benefits
Comprehensive benefits package
Company
QuantumBlack, AI by McKinsey
We are QuantumBlack, AI by McKinsey.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2015-12-14Acquired
Leadership Team
Rory Walsh
Senior Director
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