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Lead Data Scientist, Azure

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $125k - $210k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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Logo of MCA Connect

MCA Connect

201 - 500 employees

🏥 Healthcare

📦 Logistics

💼 Consulting

💰 Private Equity Round on 2020-07

Healthcare • Logistics • Consulting

MCA Connect is a leader in IT services and consulting, specializing in Microsoft Cloud industry solutions aimed at unlocking innovation and providing actionable business insights for manufacturers. With over 20 years of industry expertise, the company focuses on helping manufacturers navigate unique challenges through strategic solutions and innovation. MCA Connect offers services in manufacturing strategy, connected applications, platform management, and manufacturing intelligence, leveraging tools such as Microsoft Dynamics 365 and Azure to support clients in their digital transformation journeys.

📋 Description

• Partner with team members, mentor junior teammates, and enable growth of the Manufacturing Intelligence team • Lead Data Science implementations and drive innovation • Partner with leadership to drive continuous improvement • Build client relationships within project frameworks • Utilize Agile project delivery methodologies • Implement scalable and efficient technical architectures to satisfy client requirements • Perform hands-on implementations of Microsoft data solutions for current and future customers and projects • Leverage Azure Machine Learning, Azure OpenAI, Azure AI Search, Azure Synapse Analytics, Databricks, and Power BI • Extract insights from large datasets and develop data-driven solutions • Lead end-to-end data science projects and collaborate with cross-functional teams • Build predictive models and analytical solutions • Apply statistical and machine learning methods to complex datasets • Develop algorithms and statistical predictive models to evaluate scenarios and future outcomes • Analyze structured and unstructured data to solve complex business problems • Deliver actionable guidance and recommendations to stakeholders • Act as a subject matter expert on produced solutions and help clients understand their data • Participate in data capture strategies to improve automation, data quality, and analytics capabilities • Run ad-hoc data extracts and automate recurring requests • Manage and prioritize multiple complex projects, including requirements, goals, timelines, status, and deliverables • Meet with clients to determine needs and identify problem areas • Develop Statements of Work and proposals when required • Stay current with architectural and industry changes • Improve team processes and ensure best practices and business objectives are achieved

🎯 Requirements

• 7+ years of hands-on experience with data science, AI, and big data • 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 such as statistical process control • Ability to translate business needs into technical requirements • Experience with 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 • Strong problem-solving, critical thinking, active listening, communication, storytelling, and visualization skills • Ability to communicate effectively with technical teams, business stakeholders, and other relevant parties • Attention to detail and end-to-end ownership of deliverables • Must be open to approximately 10% travel on an as-needed basis

🏖️ Benefits

• Uncapped supplemental compensation (bonus) plan paid out quarterly • 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 • Personal and professional growth opportunities • Stimulating, challenging, and performance-oriented work culture

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