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Azure Senior Data Scientist

1 hour, 37 minutes ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
Agile Apache Spark Databricks Machine Learning Power BI Python R Scala
Apply Now
MCA Connect

MCA Connect

MCA Connect is a leading provider of Microsoft Dynamics 365 ERP and CRM solutions for manufacturing, energy, and service-based companies. With over 20 years of industry expertise, they help clients unlock innovation, establish competitive advantage, an...

Internet Software & Services
251-1K
Founded 2002
View All Jobs 11

Description

  • Lead end-to-end data science implementations and drive innovation within the Manufacturing Intelligence team.
  • Build client relationships and partner with leadership to support continuous improvement.
  • Use Azure Machine Learning, Azure OpenAI, Azure AI Search, Azure Synapse Analytics, Databricks, and Power BI to deliver analytics solutions.
  • Extract insights from large datasets and develop data-driven solutions for complex business problems.
  • Build predictive models, develop algorithms, and apply statistical and machine learning methods to structured and unstructured data.
  • Collaborate with cross-functional teams and stakeholders to translate business needs into technical requirements and actionable recommendations.
  • Act as a subject matter expert and mentor teammates to help clients better understand their data and the solutions produced.
  • Support data capture strategies, improve data automation and data quality, and automate recurring ad-hoc data extract needs.
  • Manage multiple complex projects, including requirements gathering, timeline coordination, status communication, and deliverable tracking.
  • Meet with clients to identify needs and may develop statements of work and proposals for professional services.

Requirements

  • 7+ years of 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 an equivalent combination of education and experience.
  • Experience developing and owning production-level models and shipping models to production.
  • Experience ensuring model availability using measurements and tools such as statistical process control.
  • Experience working in Python, R, Scala, Spark, 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.
  • Experience working on projects involving large volumes of data, preferably in the manufacturing industry.
  • Open to approximately 10% travel on an as-needed basis.

Benefits

  • $105,000 to $165,000 annual salary plus a quarterly supplemental compensation bonus plan.
  • Unlimited Paid Time Off (UPTO) for work/life balance.
  • 401(k) plan with company matching contribution.
  • Monthly stipend for home office expenses.
  • Subsidized medical, dental, and vision coverage.
  • Health Savings Accounts and Flexible Spending Accounts.
  • Company-paid life and disability insurance.
  • Training, certification, and continuing education support.

Interested in this position?

Apply directly on the company website

Apply Now

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