Responsibilities  

• Design, develop, test, deploy, and support high performing, reliable and scalable machine learning solutions  
• Clearly communicate technical details to technical and management teammates  
• Assist business development team with pre-sales activities and RFPs (Request for Proposal)  
• Elevate the teams’ talent and quality through active coaching and management  
• Manage prioritization ensuring the team is working on top priorities and maximizing value  
• Conduct customer discovery meetings to determine requirements  
• Work with the sales team to support sales efforts from a technical perspective  
• Lead creation of collateral including reference implementations and best practices, and training of sellers and partners in your area of specialization  
• Identify, validate, and grow opportunities to accelerate Azure consumption in high potential customer accounts, in partnership with the sales team, by driving solution architecture for Microsoft solutions 

Requirements  

• Bachelor’s Degree desired in Computer Science, Operations Research, Information Technology, Applied Math, Economics, Statistics or related quantitative field  
• Minimum of 5 years of experience with data science (or machine learning work), Azure technologies, and previous Consulting experience  
• Knowledge of Databricks development  
• Proficient in at least three of the following: Scala, Python, R, Spark  
• Ability to develop utilizing the following technologies: Data Movement (Apache Spark, plus Azure Data Factory and legacy SSIS (SQL Server Integration Services)), Azure Storage Technologies (Data Lake, Blob Storage), Azure Machine Learning, Azure Databricks  
• Expertise in Spark Data Frames API (Application Programming Interfaces) and architecture to ingest and manipulate data, including exploring, preprocessing, joining, filtering, dropping sorting, partitioning, and renaming/manipulating columns in the dataset 

• Experience in predictive, prescriptive, and descriptive settings using data science tools and technologies  
• Experience with Azure ML Studio/Services  
• Understanding and experience with a variety of model families, including supervised vs unsupervised, regression vs classification, clustering, and cross-validation  
• Experience in a variety of technical domains is a plus: NLP, computer vision, algorithmic marketing  
• Building, Tuning, and deploying analysis models with Spark ML and ML Flow  
• Knowledge of Power BI (Business Intelligence) and Microsoft and Databricks certifications is a plus   

This Job Posting will expire on Monday, April 22, 2024.