Senior Data Scientist, Azure

November 5

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MCA Connect

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

201 - 500 employees

💰 Private Equity Round on 2020-07

Description

• Through passion and deep industry expertise, MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights. • Established in 2002, MCA Connect has grown into one of the largest US-based solution partners in Microsoft Business Applications and Azure Data & AI / Digital & App Innovation. • We are seeking a highly skilled and experienced Senior Data Scientist specializing in Microsoft technologies, responsible for leveraging advanced analytics techniques and tools such as Azure Machine Learning, Azure Synapse Analytics, and Power BI to extract insights from large datasets and develop data-driven solutions.

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