Responsible for demand planning analysis and forecasting functions for selected clients, supporting planning processes, conducting cost‑saving studies, and using data analytics to recommend process improvements.
Compensation
We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.
Responsibilities
Employ wave planning processes and applications to maintain optimal workflow levels within the facility
Provide planning support and technical oversight as defined by departmental procedures for the customer
Execute planning processes and activities consistent with defined procedures and management direction
Conduct studies to discover ways to reduce costs, improve processes and optimize output
Use data analytics and statistical tools to understand bottlenecks and recommend flow improvements
Requirements
Bachelor’s degree or equivalent related work or military experience
Nice to have: Bachelor’s degree in Business, Engineering, Supply Chain or related field
Nice to have: basic data research and analytical tools (Excel, Access, etc.)
Nice to have: forecasting solutions
Nice to have: modeling and applying demand planning processes and tools
Lead data science and governance initiatives across R&D scientific platforms at Elanco.
Responsibilities
Define and operationalize R&D-wide data governance policies and SOPs
Advise on data attributes, metadata standards, ontologies, and master data models
Drive data readiness across R&D scientific platforms such as ARCHI, Benchling, Revvity, and Clinical Systems
Design, build, and deploy machine learning and statistical models using harmonized data
Implement automated data quality frameworks and monitoring
Requirements
Bachelor's degree in Data Science, Computer Science, Bioinformatics, Computational Biology, Information Systems, Operations Research, or related quantitative/life sciences discipline
Master's degree in same fields
Nice to have: Biomedical ontologies (MeSH, SNOMED, ChEMBL, CDISC/SDTM/ADaM)
Assist with building, testing, and optimizing data pipelines to ingest, transform, and deliver data from enterprise source systems into analytics and AI platforms.
Compensation
Compensation: $20-$30/hour range with actual pay dependent on candidate overall skills for the role
Responsibilities
Assist with building, testing, and optimizing data pipelines to ingest, transform, and deliver data from enterprise source systems into analytics and AI platforms.
Analyze, profile, and validate data to identify data quality issues, support business requirements, and improve the accuracy and reliability of enterprise datasets.
Develop SQL and Python-based solutions to automate data processing, validation, reporting, and other engineering workflows.
Support the development and testing of AI-powered data engineering agents that automate activities such as metadata discovery, documentation generation, data quality monitoring, lineage tracking, and engineering productivity tasks.
Prepare and validate AI-ready datasets and data products for analytics, reporting, machine learning, and Generative AI initiatives.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, Software Engineering
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. The eBay Cloud team powers the foundational infrastructure that supports thousands of eBay applications. We are looking for an experienced Cloud Platform Engineer to join our team. In this role, you will be a key contributor to the design, implementation, and management of the tools and systems that govern the application lifecycle on our private cloud.
Responsibilities
Lead the design and management of the full lifecycle for our cloud-native products and services
Build intuitive UIs and customized CLIs to support diverse eBay applications
Continuously adapt and integrate the latest open-source technologies (e.g., Kubernetes) to build a platform that guarantees our applications are reliable, efficient, and scalable
Engineer robust automation and diagnostic tools in Go and Java to streamline platform operations
Collaborate closely with internal teams to ensure the seamless validation, adoption, and integration of the eBay Cloud platform
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Lead the experimental program of a joint UW–Los Alamos National Laboratory project on axial chiral phonons in two-dimensional semiconductors, involving material growth, measurement at both sites, and knowledge transfer.
Locations (2)
Laramie, Wyoming, United States
Los Alamos, New Mexico, United States
Responsibilities
Grow and optimize WS₂–WSe₂–WS₂ lateral multijunctions, and characterize sample quality before measurement
Design and run helicity-resolved magneto-Raman measurements under cryogenic and high-magnetic-field conditions
Carry out nano-optical imaging and correlative AFM / SEM-EDX characterization of chiral junctions at LANL
Analyze and model spectroscopic data; relate observed mode behavior to electron–phonon coupling and scattering dynamics
Maintain the feedback loop between sites: communicate characterization results back to the growth effort so subsequent sample generations improve
Requirements
Post Doctoral Research Associate - Zoology & Physiology
Lead analyses for an NSF-sponsored collaborative project focused on animal camouflage and global change using global camera-trap-derived data.
Responsibilities
Lead research projects
Publish papers in peer-reviewed journals
Present research findings at scientific conferences and project meetings
Help mentor undergraduate and graduate students
Requirements
Doctoral Degree in ecology, wildlife biology, quantitative ecology, data science, geography, computational biology, environmental science, or a related field
Senior Software Engineer supporting a Department of War customer in a high-performance, Agile environment.
Compensation
$112,000 - $179,000. 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, skills, 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
Transform customer requirements into a technologically advanced, high-performing software architecture within program technical, schedule, and cost constraints supporting our DoW customer and tenants
Work in a high-performance environment using Agile Software Development processes to support system design, architecture, application deployment, and application maintenance
Perform backlog grooming and sprint planning, developing and reviewing code, updating technical documents, generating unit tests, ensuring code meets requirements through unit testing, and resolving discrepancy reports
Develop, install and configure software components or algorithms in a cloud-based environment/framework
Work with the Scrum Master, Product Owner, and other Scrum team members to ensure successful integration with other software components
Requirements
Bachelor’s degree in computer science, computer engineering, or related field
Analyste – Intelligence d’affaires et données (BI)
Concevoir, développer et maintenir les tableaux de bord et rapports Power BI, piloter la migration de la plateforme BI, extraire, modéliser et transformer les données, réaliser des analyses à valeur ajoutée, exploiter l’IA intégrée, agir comme personne-ressource en matière de données et former les utilisateurs.
Locations (2)
Canada
Great Falls, Montana, United States
Responsibilities
Concevoir, développer et maintenir les tableaux de bord Power BI
Piloter la migration de la plateforme BI actuelle (QLIK) vers Power BI
Extraire, modéliser et transformer les données provenant du lac de données corporatif
Réaliser des analyses à valeur ajoutée
Exploiter les fonctionnalités d’intelligence artificielle intégrées
Requirements
Diplôme d’études collégiales ou baccalauréat en informatique, génie logiciel, génie industriel, mathématiques/statistiques ou administration avec concentration en TI ou en analytique d’affaires
The Merkle Research Group is seeking a research scientist to help promote the application of our science and tools by coordinating workshops, presentations, partner meetings, and outreach activities that highlight ongoing conservation efforts related to wildlife migration, habitat conservation, and working lands stewardship. The position will also support the development of outreach materials, success stories, and educational content that improve awareness of conservation opportunities and strengthen collaboration among partners involved in initiatives such as the USDA Working Lands for Wildlife Migratory Big Game Initiative (MBGI).
Coordinate outreach and technical science transfer through the development and delivery of in-person and virtual workshops that support partners in learning and applying Merkle Research Group tools for land conservation, wildlife management, and ecological research.
Gather partner feedback on Merkle Research Group tools and workflows and provide recommendations for quarterly updates and improvements based on user needs and operational experience.
Assist partners in the application of additional conservation decision-support tools, including those developed by the USDA Working Lands for Wildlife program.
Conduct original research leading to peer-reviewed publications that address important questions related to private lands conservation.
Provide technical support to partners through the development and implementation of specialized workflows, including geospatial analysis, mapping, and applied ecological analyses that inform conservation decision-making.
Requirements
MS in Wildlife Ecology
MS in Ecology
MS in Geography
MS in Environment and Natural Resources
Nice to have: Community-based conservation knowledge