Senior Data Scientist Position Available In New York, New York

McKinsey & Company Inc. US is seeking a Senior Data Scientist in NY, NY. Write production code optimized to the client’s environment. Perform research to select modeling approaches and other data science methodologies. Structure the analytics work stream for complex engagements, assigning tasks to junior colleagues and coordinating with other specialized teams such as Data Engineers. Present technical data science results to a wide range of client and internal stakeholders. Guide junior colleagues in data and model assessment, exploratory analyses, and code review. Leads overall model validation approach across the engagement and identifies opportunities to contribute to internal data science software assets, such as customer experience and workforce optimization. Lead an effective code review process across larger Data Science teams. Structure ambiguous business problems, form hypothesis, and synthesize clear takeaways from complex information into clear takeaways and recommendations (e.g., in PPT pages). Gather and advise clients on industry best practices related to data management (e.g., data quality, data lineage, data operating models, data tracing, data transformation strategies). Conduct research to establish industry-wide benchmarks (e.g., related to competitors, 3rd party vendors, climate strategies, decarbonization targets) to inform business decisions in client situations. Translate analytical results (e.g., prediction outputs) obtained using quantitative methods into business insights and actionable recommendations. Build python-based data loading, preprocessing, and feature engineering pipelines at-scale, using solutions catered to big data (e.g., Spark). Build visualization dashboards (e.g., using python, tableau, excel) to visualize analytical results, model features, targets, and explainability. Build python-based end-to-end AI/ML pipelines (e.g., using kedro) focusing on supervised (e.g., classification), unsupervised (e.g., clustering), and self-supervised (e.g., language model pre-training) methods, to be deployed in various client situations (e.g., customer channel preference, churn predictions, customer segmentation). Work with client-facing colleagues to deploy, maintain, and monitor AI/ML solutions on the cloud (e.g., aws, Azure), including performing Machine Learning Operations (MLOps) related activities (e.g., CI/CD, data drift monitoring). Conduct research on AI/ML related fields (e.g., Natural Language Processing) to codify into firm assets, share with internal colleagues, and potentially deploy at client situations. Apprentice and coach junior colleagues. Telecommuting permitted.

Qualified applicants for this position must have a Bachelor’s degree in Business Information Systems, Business Analytics, Statistics, or related field, or foreign degree equivalent. Qualified applicants for this position must have a minimum one (1) year of experience developing advanced analytics and data science solutions.

Experience must include:

creating and implementing machine-learning models; programming experience in Python and SQL involving ETL processes, data manipulation, and standard data science packages; performing statistical analysis; using production level and interactive Integrated Development Environments; using software engineering concepts and best practices.

Comp:

$176k – $186,800/yr. Email your resume to CO@mckinsey.com & refer to Job # 7632298.

Worksite:

McKinsey & Company Inc. US, 3 World Trade Center, 175 Greenwich Street, New York, New York 10007

Minimum Salary:

176000

Maximum Salary:

186800

Salary Unit:

Yearly