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Downers Grove

    Data Science Senior Consultant - Downers Grove, Illinois, United States - 3Cloud

    3Cloud
    3Cloud Downers Grove, Illinois, United States

    Found in: beBee S2 US - 4 weeks ago

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    Description

    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
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