Microsoft Azure Senior Data Scientist

October 22, 2023

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Unlock innovation and actionable business insights with Microsoft Cloud industry solutions.

Microsoft Dynamics AX • Microsoft Dynamics CRM • Business Transformation • Managed Services • Microsoft Dynamics 365

201 - 500

💰 Private Equity Round on 2020-07

Description

• Building predictive models and other analytical solutions. • Apply statistical and machine learning methods to analyze large, complex data sets. • Collaborate with various parties to brainstorm creative uses for data. • Develop complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. • Perform analyses of structured and unstructured data to solve multiple and complex business problems. • Deliver actionable guidance and recommendations to stakeholders to help understand nuances of the models built and tactics for improving. • Act as the subject matter expert on solutions produced by working closely with your peers to help Clients better understand their data. • Actively participate in the execution and planning of data capture strategies to improve data automation, data quality, and analytics capabilities. • Run ad-hoc data extracts for requests from diverse partners and automate those needs over time. • Perform highly complex, technical, and creative predictive analytics projects. • Manage and prioritize multiple moderate-to-highly complex projects including gathering business requirements, developing project goals and requirements, coordinating project timelines, and communicating project status and deliverables with Clients. • Stay abreast of architectural/industry changes in related fields. • Continuously improve Team processes to ensure information is of the highest quality, contributing to the overall effectiveness of the Team. • Ensure best practices are followed and business objectives are achieved by focusing on process improvements. • Meet with Clients to determine needs and/or identify problem areas. • May be responsible for the development of Statement of Work and Proposals which outline professional services required to meet Client requirements.

Requirements

• 7+ years hands-on experience with data science, AI, and big data. Experience with data engineering is a plus. • Degree in Information Technology or Business Administration or equivalent combination of education and experience • Experience developing and owning production-level models using various data sets. • Experience shipping models to production, and ensuring continuous availability via measurements, and tools like statistical process control. • Knowledge of the Azure Data Platform technologies such as Stream Analytics, Azure Databricks, Azure Data Factory, Data Lake Analytics, HDInsight, Analysis Service, Event Hubs, Data Factory, Cosmos DB, SQL Data Warehouse, Azure SQL Database, etc. • Ability to translate business needs into technical requirements through active partnerships, collaborating with partners, data scientists and data architects. • Compelling storytelling through analytics and visualization, getting your point across, and keeping your audience engaged. • Experience working in Python, R, Scala, and/or T-SQL. • Extensive experience connecting to Data Platforms including data lakes, data warehouses, NoSQL databases, and APIs. • Ability to set up data and experimental platforms. • Strong critical thinking, active listening, and communication skills to infer business needs, grasp the underlying context, and translate loose direction on analytical projects into concrete solutions. • Attention to detail and desire for end-to-end ownership of deliverables.

Benefits

• Work/Life Balance with Unlimited Paid Time Off (UPTO) • 401k Plan with Company Matching Contribution • Monthly Stipend for Home Office Expenses • Subsidized Medical, Dental and Vision Coverage • Health Savings and Flexible Spending Accounts • Company Paid Life and Disability Insurance • Training, Certification and Continuing Education Support