Associate Machine Learning
McKinsey | NY,New York,USA
This Job has stopped accepting applications | 9117 Views

Short Description

McKinsey is hiring for Associate Machine Learning who has good experience in Java, PHP, J#.Net environment, Perl, Mathematica, MATLAB, Hadoop, Spark, SAS, STATA, SPSS, RapidMinder, S-plus, ARC-GIS, Weka, NetLogo, MASON, Re Past.

Job Description

Responsibilities And Required Skills:
  • 5+ years of professional experience in machine learning, mathematical modeling, statistical modeling, optimization or data mining involving large data sets.
  • At least 2 years of experience with current data visualization applications and tools.
  • Master's or PhD degree in a quantitative field such as statistics, math, applied mathematics, financial mathematics, etc.
  • In depth understanding of risk measurement frameworks, including the ability to identify and communicate risk concentrations and key drivers of risk and capital via presentations or reports.
  • Working knowledge of Generally Accepted Accounting Principles (GAAP), Basel III, Dodd-Frank Act Stress Testing, and bank accounting/regulatory reporting requirements CFA, PRM, or FRM designation or candidate.
  • Required experience in R, Python and/or Tensor flow. 
  • Applied Machine Learning modeling expertise is required.
  • Background in Deep Learning (CNN, LSTM), Natural Language Processing (Word2Vec), and anomaly detection is highly preferred.
  • Desired experience in Java, PHP, J#.Net environment, Perl, Mathematica, MATLAB, Hadoop, Spark, SAS, STATA, SPSS, RapidMinder, S-plus, ARC-GIS, Weka, NetLogo, MASON, Re Past.
  • Desired experience using other programming and data manipulation languages (SQL, Hive, Pig, C/C++)Solid MS Office skills - Excel (including macros and VBA) and Access (or SQL), story boarding and PowerPoint at high proficiency preferred.
  • Knowledge of any one visualization tool such as Tableau, Spotfire, PowerView, QlikView, D3.js or equivalent.
  • Experience in developing advanced models such as multivariate regression, neural networks, support vector machines, Random Forest, Bayesian Analysis, decision trees, ANOVA, etc.
  • Well-honed analytical problem-solving ability coupled with business acumen to structure problems, deliver solutions and communicate insights
  • Strong quantitative and conceptual thinking skills, with attention to detail and accuracy.
  • Entrepreneurial, driven spirit; strong ownership mindset with a focus on delivering high-quality end products.
  • Energetic, self-starter who thrives in a collaborative, fast-paced environment.
  • Polished interpersonal and communication style with the ability to effectively communicate, persuade and clearly explain complex technical insights to a wide variety of audiences.
  • Ability to travel up to 50-75%.

Associate Machine Learning
Associate Information | Information Technology | Technology Full-time Other | Information Technology Machine Learning Engineer | Java | Python
McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. 

We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can. We have deep functional and industry expertise as well as breadth of geographical reach. We are passionate about taking on immense challenges that matter to our clients and, often, to the world. 

We work with our clients as we do with our colleagues. We build their capabilities and leadership skills at every level and every opportunity. We do this to help build internal support, get to real issues, and reach practical recommendations. We bring out the capabilities of clients to fully participate in the process and lead the ongoing work.