UNKNOWN

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Model versioning, registry management, deployment pipelines, monitoring, retraining automation. Understanding of model governance in regulated environments.

<div> Must Have Technical/Functional Skills 3+ years MLOps experience. Model versioning, registry management, deployment pipelines, monitoring, retraining automation. Experience with MLflow, Databricks, or equivalent. Understanding of model governance in regulated environments. Key Skills: CI/CD for ML, model monitoring (drift, performance degradation), A/B experiment infrastructure, audit trails for model decisions, regulatory compliance documentation.</div>

ClifyX, INC

ML Ops / Model Governance Engineer

Automation

Sales Pipeline

jobdiva

Conduct space utilization analysis, evaluating how effectively warehouse space is being used and identifying areas for improvementPlan inbound/outbound logistics to meet daily and weekly distribution schedules. Based at our main US Distribution facility in Louisville, Kentucky, this role goes beyond traditional data analysis to design predictive and prescriptive models, fostering innovation in supply chain strategy and decision-making.

YEAR

The PositionThe CompanyConsidered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 45 years.Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.We celebrate our unique history as the pioneers of scientific breakthroughs that have an incredible track record of improving lives. And yet, our ambitions are bigger and bolder. Together, we are united in a bold quest to solve the world's most complex health challenges and serve society.Our ability to bring transformative medicines to patients depends on the positive experience, engagement and resilience of everyone who works here. Our employees are the heart of Genentech and the driving force behind the progress that brings important new medicines to the people who need them. We believe a great people experience is critical for revolutionizing healthcare and that's why we're committed to cultivating an environment where people feel valued, included and able to thrive.The OpportunityAs the Principal Supply Chain Data Scientist, you will lead advanced analytical initiatives to optimize pharmaceutical distribution processes, leveraging cutting-edge data science methodologies and technologies. Based at our main US Distribution facility in Louisville, Kentucky, this role goes beyond traditional data analysis to design predictive and prescriptive models, fostering innovation in supply chain strategy and decision-making. Reporting directly to the Head of Business Excellence, you will drive advanced analytics, process optimization, and strategic supply chain insights. This position combines technical expertise, leadership, and collaboration to impact the broader supply chain ecosystem.What You'll DoAdvanced Data Analysis & Predictive Modeling:Design, implement, and validate advanced algorithms and predictive models to solve supply chain challenges in a high-pace distribution operation.Apply machine learning, statistical methods, and optimization techniques to enhance forecasting, inventory management, and logistics planning.Analyze large datasets and business systems to identify trends, patterns, and innovative opportunities using data mining tools and statistical approaches.Develop advanced AI-driven tools for improved planning accuracy, distribution efficiency, and warehouse operations.Develop and maintain reports and dashboards using Tableau.Generate and distribute reports using SQL Reporting Services.Supply Chain Distribution Optimization & Innovation:Develop and implement distribution plans to optimize product movement from manufacturing facilities to customers.Create and execute detailed schedules for deliveries, warehouse operations, and related activities.Effectively manage warehouse capacity modeling and assessments to ensure accurate and timely insights. Conduct space utilization analysis, evaluating how effectively warehouse space is being used and identifying areas for improvementPlan inbound/outbound logistics to meet daily and weekly distribution schedules.Plan efficient delivery routes and schedules for cost-effective transportation of medications.Analyze the distribution network to identify bottlenecks, optimize routes, and improve overall efficiency and cost-effectiveness.Drive the creation of digital twin models for scenario planning and strategic decision-making, ensuring efficient and sustainable supply chain practices.Evaluate and propose innovation opportunities through investment modeling and process improvements.Strategic Impact & Communication:Serve as a strategic advisor, translating business challenges into actionable, data-driven insights.Present findings, recommendations, and strategic plans to senior leadership, aligning advanced analytics with organizational goals.Act as the subject matter expert in supply chain analytics, providing guidance across initiatives and projects.Manage data governance frameworks, ensuring integrity, accuracy, and compliance with regulations.Performance Monitoring, Accurate Reporting, Improvement, and Problem Solving:Track key performance indicators (KPIs) such as on-time delivery rates, inventory turns, and order fulfillment rates to identify areas for improvement.Analyze performance data to identify issues and implement changes to enhance efficiency and customer service.Address disruptions in the distribution process promptly and develop contingency plans for potential risks.Regularly review performance metrics and adjust processes for ongoing optimization.Use advanced planning systems and AI-driven tools to improve planning accuracy and optimize warehouse operations.Create comprehensive documentation and reports to communicate insights and recommendations.Regulatory Compliance:Ensure compliance with relevant regulations and guidelines related to pharmaceutical distribution and supply chain management.Business Intelligence (BI):Create, implement, and manage data integration workflows using SQL Integration Services.Develop multidimensional cubes and tabular models in SQL Analysis Services.Ensure data integrity, accuracy, and security across all BI systems.Continuously improve BI processes and methodologies to enhance efficiency and effectiveness.Who You AreBachelor''''s degree in a quantitative or technical field (e.g., Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, or Computer Science) required.Advanced degrees (Master''''s, PhD) in the same fields strongly preferred, with demonstrated expertise in supply chain analytics.Previous Experience:Over 10 years of experience in supply chain analytics, business intelligence, or advanced data science roles, with a minimum of 8 years in advanced supply chain analytics.Demonstrated track record of implementing analytics within a supply chain context, with pharmaceutical distribution expertise strongly preferred.Technical Knowledge / Skills / Competencies:Proficiency in Python, SQL, and cloud-based tools with experience in developing machine learning models and optimization algorithms.Hands-on experience with advanced statistical and machine learning packages (e.g., scikit-learn, TensorFlow, R).Skilled in optimization tools (e.g., Gurobi, CPLEX) and inventory management platforms.Deep understanding of supply chain management principles, including forecasting, inventory optimization, logistics planning, and procurement.In-depth experience with pharmaceutical distribution requirements, industry standards, and compliance regulations.Familiarity with warehouse operations, capacity planning, network design, and space utilization analysis.Familiarity with SQL Integration Services, SQL Analysis Services, and SQL Reporting Services.Relocation funding is not available for this role.The expected salary range for this position based on the primary location of Louisville, Kentucky is $127,100 - $236,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.BenefitsGenentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company''''s policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Genentech Inc

Principal Supply Chain Data Scientist

Algorithms

Analysis Skills

Antibodies

Artificial Intelligence (AI)

Biotech and Pharmaceutical

Business Intelligence

Business Solutions

Cancer

Capacity Analysis

Capacity and Performance Management

Cloud Computing

Computer Science

Contingency Plans

Continuous Improvement

Cost Effectiveness Analysis

Customer Support/Service

Data Analysis

Data Management

Data Mining

Data Quality

Data Science

Data Sets

Disease

Distribution Management

Distribution Operations

Distribution Warehousing

Documentation

Ecosystems

Forecasting

Funding

Green Business

Healthcare

Identify Issues

Industry Standards

Inventory Management

Inventory Turns

Leadership

Legal

Logistics

Logistics Analysis

Machine Learning

Maintain Compliance

Manufacturing

Mathematics

Medical Products

Medications

Medicine

Multiple Sclerosis

Network Design

Network Performance/Analysis

Operational Strategy

Operations Planning

Operations Research

Optimization Algorithm

Order/Customer Fulfillment

People Management

Performance Analysis

Performance Management

Performance Metrics

Predictive Modeling

Problem Solving Skills

Process Improvement

Process Modeling

Procurement Planning

Product Planning

Productivity Model

Python Programming/Scripting Language

Regulatory Compliance

Reporting Dashboards

SQL (Structured Query Language)

SQL Server Analysis Services (SSAS)

SQL Server Integration Services (SSIS)

SQL Server Reporting Services (SSRS)

Strategic Planning

Supply Chain

Supply Chain Management

Supply Chain Optimization

Tableau

Time Management

Transportation Routing

Trend Analysis

Warehousing

UofL Health Core Expectation: At UofL Health, we expect all our employees to live the values of honesty, integrity and compassion and demonstrate these values in their interactions with others and as they deliver excellent patient care by: Honoring and caring for the dignity of all persons in mind, body, and spirit. Transformation Analytics Ownership: Translate turnaround priorities into: KPI frameworks, Driver-based models (volume, yield, cost), Initiative tracking (benefits realization), Build decision-grade dashboards.

Primary Location:250 E Liberty StAddress:250 East Liberty St.
Louisville, KY 40202Shift:Job Description Summary:About UofL Health:UofL Health is a fully integrated regional academic health system with five hospitals, four medical centers, nearly 200 physician practice locations, more than 700 providers, the Frazier Rehab Institute and Brown Cancer Center.With more than 12,000 team members-physicians, surgeons, nurses, pharmacists and other highly skilled health care professionals-UofL Health is focused on one mission: delivering patient-centered care to each and every patient each and every day.Job Description:Position Summary and PurposeThe Director of Transformation Analytics and Architecture is a leadership role responsible for owning and executing the data strategy of the Transformation Management Office (TMO). This leader bridges the gap between technical data architecture and business goals by managing a multi-function team of Managers, AI Engineers and Data Architects, among others. As the Director of Transformation Analytics and Architecture, you will lead the evolution of our data and AI ecosystem. You will transform complex enterprise data into actionable insights that drive growth, efficiency, and data-driven decision-making across all departments.Essential Functions:Leadership: Champion and lead the Transformation Analytics and Data Architecture Units and roadmap aligned with TMO and organizational goals.Team Management: Recruit, mentor, and lead a team of Managers, Engineers, Architects and Analysts, among others.Data Governance & Quality: Partner with Analytics Leadership Team to establish enterprise-wide data standards, ensuring accuracy, security, and compliance with regulations like HIPAA.Infrastructure Ownership: Lead data architecture/engineering to manage and implement data warehouses (e.g., Fabric, Databricks) and ensure scalable, high-performing BI pipelines across all domains, such as clinical, operational, financial, etc.Transformation Analytics Ownership: Translate turnaround priorities into:KPI frameworks, Driver-based models (volume, yield, cost), Initiative tracking (benefits realization), Build decision-grade dashboardsAI Strategy & Deployment (Transformation Lever): Own AI roadmap aligned to TMO prioritiesWorks with Analytics Leadership to identify and prioritize high-value use cases.Support build vs buy decisions, stand up AI product lifecycle, ensure governance risk, and compliance.Ensure AI is deployed as products/capabilities embedded in workflows, not toolsTransformation Execution & TMO Integration:Embed analytics + AI into each TMO workstreamPartner with initiative owners to quantify opportunity, track impact, course-correct in real time, build benefits tracking system tied to finance, support operating cadence with TMO leadership.Stakeholder Engagement: Act as a primary consultant to senior executives, translating complex technical findings into clear, strategic recommendations.Driving Data Literacy: Champion the adoption of self-service BI tools across the organization to empower non-technical users.Additional tasks/responsibilities as defined.Other Functions:Works closely with Analytics and Strategy leadership team, business teams and IT infrastructure teams to design, implement and support the goals and objectives of the organization set by the leadershipProactively communicates and collaborates with internal and external customers to analyze information needs and functional requirements and deliveryMaintains compliance with all company policies, procedures and standards of conductComplies with HIPAA privacy and security requirements to maintain confidentiality at all timesPerforms other duties as assignedAdditional Job Description:Job Requirements(Education, Experience, Licensure and Certification)Education:Bachelor's Degree in Business, Information Science or Computer Science required.Experience (required/preferred):7-10+ years in data analytics or BI, with prior experience in a leadership role managing direct reports.Experience in AI Engineering, Machine Learning Engineering, or Advanced Data Engineering.Knowledge of tools like Microsoft Fabric, Databricks, Power BI, Tableau, or Looker.Deep understanding of data modeling, ETL processes, and data warehousing concepts.Exceptional storytelling and communication skills to bridge technical and business domains.Expert knowledge of data governance practices and data life cycle management highly desired.Experience in Agile development methodology for analytics projects required.Experience working directly with vendors, customers and other Technology teams.Licensure:N/ACertification:N/AJob Competency:Knowledge, Skills, and Abilities critical to this role:Language Ability:Must be able to communicate effectively in both verbal and written formatsReasoning Ability:Ability to break down problems or tasks; using prior knowledge and experience to identify causes and consequences of eventsComputer Skills:Proficient with Microsoft 365 and Office ToolsStrong data modeling skills and conceptsMust have the capacity to learn other relevant systems and databases, as neededAdditional Responsibilities:Demonstrates a commitment to service, organization values and professionalism through appropriate conduct and demeanor at all timesMaintains confidentiality and protects sensitive data at all timesAdheres to organizational and department specific safety standards and guidelinesWorks collaboratively and supports efforts of team membersDemonstrates exceptional customer service and interacts effectively with physicians, patients, residents, visitors, staff and the broader health care communityUofL Health Core Expectation:At UofL Health, we expect all our employees to live the values of honesty, integrity and compassion and demonstrate these values in their interactions with others and as they deliver excellent patient care by:Honoring and caring for the dignity of all persons in mind, body, and spiritEnsuring the highest quality of care for those we serveWorking together as a team to achieve our goalsImproving continuously by listening, and asking for and responding to feedbackSeeking new and better ways to meet the needs of those we serveUsing our resources wiselyUnderstanding how each of our roles contributes to the success of UofL Health

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ML Ops / Model Governance Engineer ClifyX, INC

Principal Supply Chain Data Scientist Genentech Inc

Director, Transformation, Analytics and Architecture University of Louisville Physicians Inc

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