MCA Connect · 1 day ago
Azure Senior Data Scientist
United States
Full-time
Remote
Senior Level, Lead/Staff
9+ years expMCA Connect is a leading solution partner in Microsoft Business Applications and Azure Data & AI. They are seeking a Senior Data Scientist to lead Data Science implementations, mentor junior teammates, and drive innovation within the Data & AI Services team while building client relationships and implementing scalable technical architectures.
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Responsibilities
Lead end-to-end data science and ML engagements on Microsoft Azure, Microsoft Fabric, and Databricks to solve manufacturing, supply chain, and operations use cases for MCA clients
Design and implement advanced analytics solutions using Azure Machine Learning, Azure OpenAI, Databricks (PySpark/MLflow), and Power BI, ensuring they are secure, scalable, and aligned to MCA delivery standards
Build modern retrieval and RAG patterns on Azure (vectorization, similarity search) to expose knowledge from SOPs, service histories, maintenance logs, and data sources commonly associated with manufacturing, supply chain, and logistics
Develop, fine-tune, and deploy models across the spectrum—from classical and statistical approaches (forecasting, optimization, anomaly detection) to deep learning and Generative AI—selecting the simplest viable approach for the business problem
Perform hands-on LLM adaptation (such as LoRA/QLoRA) and package or customize models for production hosting in Azure and Databricks
Translate client business requirements into technical architectures, feature roadmaps, and implementation plans, and advise when a regression or optimization solution is more appropriate than a complex GenAI approach
Analyze large, complex, and mixed (structured and unstructured) datasets to generate actionable insights for plant, quality, and supply chain stakeholders
Present model results, data stories, and recommended actions in a way that non-technical leaders can understand and operationalize
Partner with data engineering and architecture teams to improve data capture, data quality, and automation across Azure data lakes, warehouses, and ERP/MES sources
Create reusable notebooks, components, and delivery patterns to raise the maturity of the Manufacturing Intelligence team and accelerate future projects
Ensure MLOps best practices for the full model lifecycle, including tracking, registry, CI/CD, monitoring, and governance using Azure ML and Databricks
Manage and prioritize multiple client projects simultaneously, including requirements gathering, scope definition, timeline coordination, and status reporting
Contribute to Statements of Work and proposals that clearly define services, effort, and the Azure/Databricks solution approach
Stay current on Microsoft and Databricks product roadmaps and industry changes and recommend adoption where it improves client outcomes
Meet with clients to understand problems, validate assumptions, and shape analytics and AI solutions
Be available for approximately 10 percent travel on an as-needed basis
Qualification
Required
9+ years of hands-on experience delivering data science and ML/AI solutions on cloud platforms, preferably Microsoft Azure and Databricks; experience with data engineering patterns is a plus
BS/MS in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, AI, or Analytics
Proven ownership of the full MLOps lifecycle—experiment tracking, model registration, deployment, monitoring, and retraining—using Azure ML and Databricks/MLflow, ideally with CI/CD in Azure DevOps or GitHub
Ability to translate manufacturing, supply chain, or operations business problems into technical requirements by partnering with business stakeholders, data scientists, and data/solution architects
Strong consulting-grade communication skills, including storytelling with analytics and visualization, to explain model behavior and drive decisions with non-technical audiences
Expert-level proficiency in Python and SQL, with T-SQL preferred for Azure SQL/Synapse/Fabric environments
Deep, hands-on experience with core data science libraries, including scikit-learn for classical and statistical ML and PyTorch for deep learning
Proven experience working in Databricks with PySpark, plus hands-on use of optimization approaches commonly applied in supply chain and manufacturing—such as mixed-integer/linear programming for planning and scheduling, network/routing optimization, and constraint-based solvers—using libraries like OR-Tools or SciPy optimize
Practical knowledge of Generative AI on Azure, including prompt engineering, retrieval-augmented generation (RAG), and the ability to identify and prioritize high-value LLM use cases in a business context
Hands-on experience implementing RAG and vectorization on Microsoft-first tooling (for example Azure AI Search/Vector Search, Azure OpenAI, Databricks vector stores or Lakehouse-based retrieval pipelines), including document ingestion, chunking, and securing access to manufacturing and supply chain content
Hands-on experience building and orchestrating AI agents in the Microsoft ecosystem (Azure AI Studio/Agents, Azure OpenAI with tool/function calling, and integrations to Databricks/Fabric or REST backends), including securing those agents against tenant data and conditioning them for manufacturing and supply chain workflows
Extensive experience integrating with Azure-centric data platforms, including data lakes, data warehouses, Delta/Parquet, NoSQL stores, and APIs
Ability to stand up and manage data and experimentation environments to support rapid model development and evaluation
Strong critical thinking, active listening, and situational awareness to infer business needs, understand context, and turn loose direction into concrete analytical solutions
Attention to detail and a bias for end-to-end ownership of deliverables in a consulting/project setting
Experience delivering projects on large, complex datasets, preferably in manufacturing, supply chain, or logistics industries
Demonstrated ability to communicate effectively with technical teams, business stakeholders, and client leadership
Preferred
PhD strongly preferred
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
Uncapped Supplemental Compensation (Bonus) Plan paid out quarterly
Company
MCA Connect
MCA Connect is a system integrator focused on the sale and support of Microsoft Dynamics software solutions.
201-500 employees
H1B Sponsorship
MCA Connect has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (4)
2023 (14)
2022 (4)
2021 (3)
2020 (6)
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
RLH Equity Partners
2020-07-14Private Equity
Leadership Team
Doug Bulla
Senior Vice President Solution Development
Recent News
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