The Master Scheduler is responsible for developing and maintaining a constrained Master Production Schedule (cMPS) that aligns site capacity with network requirements while driving global optimization and digital transformation initiatives.
Compensation
The anticipated base pay range for this position is:
€64,300.00 - €102,925.00
Responsibilities
Develop and maintain a monthly constrained Master Production Schedule (MPS) based on net requirements
Perform site capacity planning for resources, shifts, equipment, and planned shutdowns
Lead site Rough-Cut Capacity Planning (RCCP) reviews and identify improvement opportunities
Chair and own the Site Latest Estimate (LE) process, ensuring alignment with Net Requirements Plan (NRP)
Collaborate with global teams to identify and mitigate capacity constraints across the network
Requirements
Bachelor’s degree in Supply Chain, Business, Engineering, or related field
Build and develop models that will feed directly into regulatory reporting and consumption component of the water balance
Enrich stakeholder insight of our Big Data Smart Meter set, applying quality assurance techniques and automation processes to deliver consistent reporting
Develop statistical and predictive models that improve understanding of consumption, per capita consumption, business demand and leakage, and feed directly into regulatory reporting
Carry out exploratory analysis, data mining and empirical analysis to identify trends, drivers and opportunities
Apply data science techniques such as linear and multivariate regression, decision trees, Monte Carlo analysis and neural networks to complex business problems
Director, AI for Clinical Intelligence & Evidence Lung, Head & Neck
Lead the development and implementation of AI-driven evidence strategies for Lung, Head & Neck therapeutic areas, translating data into actionable insights for portfolio decisions.
Compensation
The annual base pay for this position ranges from $186,014.40 - 279,021.60 Annual USD.
Responsibilities
Define and evolve the Clinical Intelligence & Evidence strategy for Lung, Head & Neck
Peraton is seeking a Data Scientist to join our Talent Analytics & Insights team to leverage research design, regression analysis, and predictive modelling to support investigations into workforce questions such as attrition, workforce planning, internal mobility, and performance outcomes.
Compensation
Target Salary Range $80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Conduct descriptive and diagnostic analyses of workforce data to surface trends, anomalies, and actionable patterns (e.g., attrition hotspots, promotion rates, engagement shifts)
Apply hypothesis testing, correlation analysis, and regression techniques and other methods to answer workforce questions with rigor
Extract, join, transform, and validate data from enterprise data warehouse and HR systems using SQL
Translate business questions into structured analytical approaches and deliver end-to-end analyses from scoping through presentation
Communicate findings clearly to HR and business stakeholders, including visualizations, written summaries, and presentations
Requirements
Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Economics, Psychology, Industrial-Organizational Psychology, Computer Science, or related discipline)
As a Senior Demand Forecast Analyst – NAM, you will sit at the intersection of data science and commercial planning, building and improving the statistical forecasting models that underpin demand planning capability.
Compensation
The salary range for the role is CAD$94,000 - CAD$124,000
Responsibilities
Developing and maintaining statistical forecasting models, enhancing baseline forecast generation, and evaluating and implementing new forecasting techniques
Improving forecast accuracy by identifying patterns, trends, and demand drivers, and continuously evolving modelling approaches to strengthen the demand signal
Driving automation and process improvement to reduce manual overrides, and reporting on visualizing data to communicate findings to planning and commercial partners
Partnering with demand planning teams to improve forecast adoption, balancing model output with business context to ensure forecasts are both technically sound and commercially relevant
Translating complex analytical outputs into clear, actionable insights for non-technical stakeholders across planning, merchandising, and commercial functions
Lead cross‑cutting data and BI initiatives across multiple domains, establishing governance, standards, and portfolio management without direct people‑management responsibility.
Compensation
The pay range for this position is as follows:
117,100.00--156,200.00
Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan.
Responsibilities
Owns portfolio governance across multiple Data & BI Operations products and domains
Frames complex business and technical problems
Creates and institutionalizes discovery, requirements, prioritization, delivery, governance, documentation, and intake standards
Lead and contribute to the delivery of client projects and engagements, ensuring high-quality outputs and actionable insights and recommendations that align with client objectives.
Compensation
Salary range $70,000 - $85,000
Responsibilities
Lead and contribute to the delivery of client projects and engagements
Collaborate with senior marketing executives and other stakeholders to identify business challenges and opportunities
Develop and implement analytical frameworks, measurement strategies, and reporting solutions
Assist in executing the strategic vision for the CCA consulting practice
The Senior Product Manager, Enterprise AI will provide end-to-end product leadership for priority AI initiatives, from opportunity identification and intake through prioritization, delivery, adoption, and benefits realization.
Compensation
INCORPORATED RATE RANGE (7.25 billable hours per day) - $88.92/hr - $106.84/hr Inc. T4 RATE RANGE (7.25 billable hours per day) - $71.14/hr - $85.47/hr T4
Responsibilities
Lead the intake, assessment, and prioritization of enterprise AI opportunities and use cases.
Develop and maintain the enterprise AI roadmap, balancing business value, strategic alignment, feasibility, data readiness, risk, and delivery capacity.
Identify business needs, enterprise data priorities, and capability gaps through engagement with stakeholders across the organization.
Translate business challenges into clearly defined AI products, use cases, requirements, outcomes, and success measures.
Provide product leadership across the lifecycle, from discovery and experimentation through implementation, adoption, and continuous improvement.
Level 5 or higher qualification in Data Science, Computer Science, Statistics, Mathematics or a related quantitative subject, or equivalent professional experience
Director, AI for Clinical Intelligence & Evidence Lung, Head & NeckAstraZeneca · Gaithersburg, US
Data Scientist - Talent Analytics & Organizational ResearchPeraton · Remote, US
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