Lead Data Scientist, Azure

MCA Connect

. Partner with team members, mentor junior teammates, and enable growth of the Manufacturing Intelligence team .

Posted 9/25/2026full-timeRemote • United StatesSenior💰 $125,000 - $210,000 per yearWebsite

Tech Stack

Tools & technologies

AzureNoSQLPythonScalaSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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