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Mgr, Modeling and Analytics
- United States
- United States
À propos
Responsibilities:
Ability to use numbers and equations to analyze, explain, and simplify complex systems and processes throughout the business
Establish the foundational modeling required to implement actionable AI across business operations
Create predictive models to forecast impact of changes in volume/equipment/personnel based on actual information
Works with functional leaders as well as team members to understand business challenges and identify opportunities for modeling to add value.
Owns a portfolio of initiatives including large scale mathematical modeling projects, data analysis projects, and visuals/dashboard requests.
Demonstrated understanding of continuous improvement, process management, or system thinking (value stream thinking)
Develop roadmap to leverage AI in data analytics
Implement automation strategies to improve useability of data
Implement industry leading practices in data analytics and modeling
Collaborate across the organization to champion infrastructure and competencies for data analytics
Qualifications:
Required Work
Experience: 5+ years of experience in data analytics and/or mathematical modeling 5+ years of experience in a laboratory, manufacturing, or operations environment 3+ years of experience in Python, SQL or C++ Physical and Mental Requirements: BI and Visualization: Power BI, Tableau, Advanced Excel, Google Sheets. Data Tools: Alteryx, Salesforce, Jira, Snowflake. Strong expertise with database applications such as MS Access, or other relational databases very desirable. Expert knowledge of test codes and methods available is helpful. Experience working with geographically dispersed teams. Demonstrated ability to develop strong relationships with others. Advanced data analysis skills. Effective written and verbal communication skills across multiple formats: formal presentations, training material development, meetings, conference calls, e-mails, and memos. Ability to handle multiple projects simultaneously. Knowledge : Knowledge of AI models and development fundamentals
Skills : Excellent written and verbal skills, results oriented, and collaborative. Required Education: Bachelor's degree in biology, computer science or mathematics. Preferred Education: Master's degree in biology, computer science or mathematics.
Required Technical Training: Formal training in Python or C++, AI development Competencies: Problem Solving
Listening
Dealing with Ambiguity
Drive for Results
Organizational Agility
Managerial Courage
Business Acumen
58242
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.
Compétences linguistiques
- English
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