Job ID: 40199
Azure & Machine Learning Lead
Our client is seeking an Azure & Machine Learning Lead to join their team.

Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.    
Blue Sky Phase 2 - Tactical planning and Nestle process.
Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.    
Hands on technical leadership and coaching the team.
Design and build technical processes to address business issues.    
"Last mile" - beyond building models, ensuring implementation and improvement with the business.
Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.    
"Last mile" - beyond building models, ensuring implementation and improvement with the business.
Recruit, train, develop and supervise analyst-level employees.    
Team expansion and augmentation.
Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.    
Quality of insights - Q&A and validation.
Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.    
Engineering know-how. This means they will be part of the design, not necessarily part of the execution
Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.    
Digging into the business - making deliverables meaningful.
Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.    
D&I expansion with ROI in mind.
Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.    
Prioritize and plan.
Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.    

Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
Experience working with and creating databases and dashboards using all relevant data to inform decisions.
Strong problem solving, quantitative and analytical abilities.

Benefits are available to eligible VanderHouwen contractors and include coverage for medical, dental, vision, life insurance, short and long term disability, and matching 401k.

About VanderHouwen 
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide.  Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career.

VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.”



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