IEOR - Designing a More Efficient World

Machine Learning Engineer at Maestro Technologies, Inc.

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Employer: Maestro Technologies, Inc.

Expires: 06/30/2020

What You’ll Do:Predict future business outcomes of our portfolio companies by applying data mining techniques (both supervised & unsupervised learning)Connect & blend data from various data sources unlocking hidden patterns & trends within enterprise organizations (python, pandas, or SQL)Clean & structure data to eliminate redundant or unneeded information to facilitate reliable & robust analysisChoose analytical tools (segmentation, predictive models, personalization) based upon specific business problems across variety of industries (retail, industrial, manufacturing, telecom)Build predictive models that are conceptual & logical that support data-driven insights for deployment on modern data platforms (spark, Hadoop & other map-reduce tools).Partner with data engineers by proving requirements gathered during data discovery to ensure the right metrics (data model, architecture and infrastructure) are put in place when building data pipelinesDevelop containerized algos that are productionalized & deployed in hybrid cloud environments (GCP, Azure)Who You Are:Quantitative minded and have:Knowledge of quantitative methods such as linear algebra, predictive analytics and machine learning algorithmsExperienced in analyzing and exploring large datasets with Python, Pandas, SQL.You are an engineer and have experience in:ETL processData warehousing and data architecture conceptsData validation and quality assessment processesModel implementationAbility to break down technical ideas and present them in business-friendly languageBachelors, Masters or PhD in statistics, math, physics, computer science, information systems or other quantitative disciplines.It is preferred to have experience working with one of the major cloud solutions (AWS, GCP and Azure) but not required.