McKinsey & Company · 5 months ago
Data Scientist II – QuantumBlack, AI by McKinsey
Atlanta, United States
Full-time
Onsite
Entry, Mid Level
$147K/yr - $150K/yr
2+ years expMcKinsey & Company is a global leader in management consulting, and they are seeking a Data Scientist II to collaborate with clients and interdisciplinary teams to develop advanced analytics and AI solutions. This role involves solving complex business challenges, conducting exploratory data analysis, and building models to drive meaningful change across various industries.
ConsultingManagement ConsultingProfessional Services
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
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
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
Comprehensive benefits package
Medical, mental health, dental and vision coverage
Telemedicine services
Life, accident and disability insurance
Parental leave and family planning benefits
Caregiving resources
Generous retirement contributions program
Financial guidance
Paid time off
Company
McKinsey & Company
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions.
10001+ employees
H1B Sponsorship
McKinsey & Company has a track record of offering H1B sponsorships. Please note that this does not
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Trends of Total Sponsorships
2025 (612)
2024 (647)
2023 (613)
2022 (811)
2021 (740)
2020 (471)
Funding
Current Stage
Late StageLeadership Team
Guy Perry
Vice President
Abhyuadaya Shrivastava
Partner
Recent News
2026-01-16
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