Data scientist jobs in Green Bay, WI - 20 jobs

The Assistant Data Scientist is responsible for assisting in the processing, cleaning, and analyzing of large volumes of data to develop business solutions for a wide variety of clients and projects. This position assists in performing tasks utilizing statistics, machine learning, programming, and data modeling to discover information, recognize patterns and trends to address business problems. + Assist in development and application of data solutions for cleansing data to remove errors and review consistency. + Assist in analysis of data to discover information, business value, patterns and trends to guide development of asset business solutions. + Assist in gathering data, finding patterns and relationships and creating prediction models to evaluate client assets. + Assist in conducting research and apply existing data science methods to business line problems. + Assist in monitoring client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results. + Assist in production of reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business. + Performs other duties as assigned + Complies with all policies and standards Qualifications + Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program Required + Prior internship or related consulting experience Preferred + Experience working with SQL, R, Java, Python, SAS, SPSS required. + Basic knowledge of data mining and predictive analytics. + Familiarity with machine learning and predictive algorithms. + Basic knowledge of data visualization. + Ability to work with team members and clients to assess needs, provide assistance, and resolve problems. + Strong problem-solving and analytical skills. + Strong attention to detail. + Strong verbal and written communication. + Candidates must be legally authorized to work permanently (i.e., without time limitations, without restrictions or without need for work sponsorship) in the country where this position is located. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. EEO/Disabled/Veterans Job Information Technology Primary Location US-WI-Appleton Schedule: Full-time Travel: Yes, 5 % of the Time Req ID: 260230 \#LI-MC #ACO

Your career at Deutsche Börse Group Your Area of Work Join Clearstream Fund Services as a Data Scientist to design and prototype data products that empower data monetization and business users through curated datasets, semantic models, and advanced analytics. You'll work across the data stack-from pipelines to visualizations-and contribute to the evolution of AI-driven solutions. Your Responsibilities * Prototype data products including curated datasets and semantic models to support data democratization and self-service BI * Design semantic layers to simplify data access and usability * Develop and optimize data pipelines using data engineering tool (e.g. Databricks) * Use SQL, Python, and PySpark for data processing and transformation * Create Power BI dashboards to support prototyping and reporting * Apply ML/AI techniques to support early-stage modeling and future product innovation * Collaborate with data product managers, functional analyst, engineers, and business stakeholders * Ensure data quality, scalability, and performance in all deliverables Your Profile * Master's in Data Science, Computer Science, Engineering, or related field * 3+ years of experience in data pipeline development and prototyping in financial services or fund administration * Proficiency in SQL, Python, and PySpark * Hands-on experience with Databricks * Experience building Power BI dashboards and semantic models * Strong analytical and communication skills * Fluent in English

Imperial Supplies, a Grainger Company, is a national distributor of quality maintenance products. Serving the fleet maintenance industry since 1958, Imperial has formed lasting relationships with customers by tailoring our services to meet their changing needs. Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a Great Place to Work-Certified company, we're looking for passionate people to join our team as we continue leading the industry. We are seeking a Data Scientist to join our team at Imperial Supplies and drive data-driven decision-making across the organization. In this role, you'll design, test, and implement statistical models and machine learning applications to uncover actionable insights and create measurable business value. You'll work closely with cross-functional teams and executive leadership, applying innovative approaches to complex business challenges and identifying opportunities to leverage data for strategic impact. At Imperial, people come first. Here's what we offer: * Competitive salary * Hybrid / Remote schedule * Work/Life balance * Immediate medical, dental, vision; 18 days paid vacation, 6 paid holidays and 6% of annual earnings contributed to your retirement, immediately vested! Key Responsibilities * Collect, organize, and analyze large datasets from internal and external sources to support predictive modeling and strategic recommendations. * Develop, test, and validate custom models, algorithms, and simulations using R/Python and SQL. * Research and build machine learning applications involving structured and unstructured data, including regression, classification, and clustering models. * Create automated processes to test and monitor model performance and ensure data accuracy. * Develop and own measurement plans in partnership with key stakeholders. * Present key insights and recommended actions to stakeholders at all levels using effective communication and storytelling. * Build dynamic data visualizations using Power BI to monitor key business trends and metrics. * Stay current on advancements in data science methodologies and tools, fostering innovation in analytical processes. * Collaborate with IT and other departments to enhance data quality through improved cleansing and wrangling processes. Qualifications Required: * Master's degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related quantitative field - or equivalent work experience. * At least 1 year of experience in a data science or related analytics role. * Proficiency in R and/or Python, SQL, Power BI, and machine learning techniques (e.g., clustering, classification, regression). * Strong skills in data mining, algorithm development, and performance testing. * Excellent communication and presentation skills, with the ability to translate complex data into actionable insights. * Strong organization and time management skills with the ability to manage multiple priorities in a fast-paced environment. Preferred: * 3+ years of experience in a data science role. * Familiarity with tools such as Snowflake, Smartsheet, or Jira. * Demonstrated experience using large and multiple datasets to drive business value. * Proven ability to work cross-functionally with stakeholders at all levels. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.

Core Responsibilities: * Develop and iterate on analytical frameworks to evaluate capacity, throughput, and system constraints across potato fries production stages. * Work closely with plant teams, engineering, and insights teams to validate assumptions, refine models, and drive data-informed decision-making. * Translate complex data into actionable insights using clear and impactful visualizations. * Build tools and dashboards to monitor key performance metrics and enable self-serve analytics. Key Skills & Qualifications 1. Technical & Analytical Proficiency * Strong command of Python for data analysis and modeling. * Ability to wrangle and analyze time-series and operational datasets. * Familiarity with statistical methods and basic machine learning techniques. 2. Data Visualization & Communication * Proficient in data visualization tools (e.g., Python and Power BI). * Ability to translate data findings into clear, concise, and actionable visuals. * Skilled in crafting presentations style story telling for both technical and non-technical audiences. 3. Manufacturing Domain Acumen * Demonstrated interest in or experience with manufacturing, operations, or industrial systems (e.g., refrigeration, production lines, capacity planning). * Ability to understand plant operations, process flows, and constraints to contextualize analysis. 4. Problem Solving & Initiative * Capable of working on ambiguous problems and breaking them down into structured analytical tasks. * Demonstrated experience designing analysis frameworks from scratch or improving existing ones. 5. Communication & Stakeholder Engagement * Strong written and verbal communication skills with a top-down approach (start with the "so what"). * Ability to collaborate cross-functionally with engineering, operations, and analytics teams. * Comfortable presenting findings and recommendations to mid-to-senior level stakeholders. Nice to Have: * Exposure to manufacturing data systems (e.g., PI System, SCADA, MES). * Experience with simulation tools or modeling physical processes (e.g., heat transfer, fluid dynamics Please note, this role is not able to offer visa transfer or sponsorship now or in the future

**At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.** **SUMMARY:** As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems. **YOUR IMPACT** **:** + Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C. + Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns. + Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences. + Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements. + Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products. + Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. + Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands. + Coach and mentor other team members on new technologies and best practices across data science and business intelligence. + Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. + Actively supports the advancement of the strategic roadmap for data science. **MINIMUM QUALIFICATIONS:** + Bachelorsdegree with five (5) or more years of experience in the field or in a related area. **STANDOUT QUALIFICATIONS:** + Masters or doctorate degree + Expertise in Power Platforms + Familiarity with LLM (open source or closed) + Experience in Front end web app development (Flaskapp, Gradioetc) + Familiarity with RAG architecture **Pay Range:** $118,600.00 - $204,000.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

The Senior Data Scientist will play a crucial role in leading efforts to design, develop, and enhance analytical tools that address complex business challenges. This position will drive high-value modeling initiatives and experimentation, ensuring analytical rigor and innovation at every stage. A critical focus of this position is the ability to operationalize solutions, embedding advanced analytics into core processes and delivering scalable, production-ready capabilities that create measurable business impact. The individual in this role will: • Lead and influence technical direction within projects, shaping methodologies and best practices. • Mentor and develop junior team members, fostering growth while advancing your own expertise. • Innovate and expand our suite of analytical solutions to strengthen organizational capabilities. • Advance research in priority areas, ensuring robust analysis precedes modeling and experimentation. This position offers the opportunity to make a significant impact executing complex projects, elevating team performance, deliver actionable insights that influence business decisions, and embed advanced analytics into core processes. This position can be primarily remote within a driving distance of Appleton, WI. On-site time in Appleton, WI will be required for training and on a monthly basis.JOB RESPONSIBILITIES Development: Apply data science fundamentals: data collection, cleansing, modeling, and visualization. Develop solutions in Python and SQL to solve complex problems. Perform advanced data analysis and hypothesis testing to validate assumptions and guide modeling decisions. Apply modern software engineering principles for data science (CI/CD, Git, object-oriented programming, containerization). Perform advanced statistical modeling techniques, including classification and regression (ML/AI) Optimization model methodologies Forecasting model development and management Architect scalable, reliable model services with monitoring and retraining strategies. Establish robust evaluation frameworks (bias and robustness checks, ablations, model cards). Innovation Lead innovation and data research efforts for new concepts and technologies. Coordinate and facilitate technical brainstorming and ideation sessions. Build proof-of-concepts and prototypes to validate emerging approaches. Advance research initiatives in areas such as LLM/RAG evaluation & safety, AI agent frameworks, generative AI applications (text, vision, multimodal), advanced optimization, and causal ML. Develop reusable accelerators and standards to shorten time-to-value for future projects. Mentor junior team members in innovative solution development. Stay ahead of industry trends and proactively identify opportunities to integrate cutting-edge techniques into business processes. Champion responsible AI practices in all innovation efforts. Execution Lead problem framing and EDA to ensure the right method for the problem. Own full lifecycle: model → experiment → pilot → monitoring → decision/adoption. Drive prioritization and trade-off decisions to balance accuracy, scalability, and time-to-value. Deliver executive‑ready decision briefs and technical documentation. Collaborate with platform and product teams to ensure seamless integration and operational reliability. Collaboration: Embrace mentorship of junior team members and code reviews; guide method selection and documentation. Coordinate with Platform for business‑critical productionization and SLO alignment. Build strong relationships and establish credibility with stakeholders at all levels, including senior leadership, through effective interpersonal and communication skills. QUALIFICATIONS Bachelor's or Master's degree in Data Science, Data Analytics, Economics, Statistics, Computer Science or a related field involving problem solving and critical thinking, or equivalent work experience. 5+ years working in data science-specific roles, with demonstrated experience working in roles that require proficiency with data modeling, statistical modeling, model deployment, data management with evidence of strategic impact. Proven project experience working in ML and experimentation; strong software design instincts and observability practices. Expertise in Python and SQL, with the ability to develop production-quality code using modern software engineering practices (e.g., object-oriented design, version control with Git, CI/CD pipelines Proven ability to translate complex results into clear decisions and trade‑offs. Demonstrated high-level business acumen with a supply chain, transportation, and/or energy background being preferred. Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders, including executives. DIVISION: Corporate U.S. Venture requires that a team member have and maintain authorization to work in the country in which the role is based. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency unless based on business need. U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture. U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at **************.

We are seeking a skilled and motivated Senior Data Scientist to join our dynamic and innovative Data Intelligence Organization. As a member of our Data Science team, you will play a crucial role in leveraging, building and developing analytical tools to solve complex business problems. You will also be expected to act as mentor to junior team members, growing their skillsets while working to advance your skillset and developing new solutions to add to the analytical tools available to the Data Science Team and the Data Intelligence Organization. This role will work on-site in Green Bay with in office expectations Monday - Thursday and optional remote work Friday's as business needs allow. JOB RESPONSIBILITIES Development: The expectation is that this individual will join the team being Expertly skilled in the following: Understanding of core processes: data collection, cleansing, data models, data modeling and data visualization. Understanding of the businesses for which Breakthrough provides solutions and products and how those solutions and products operate. While maintaining company coding standards, demonstrate the ability to build solutions, solve problems and develop in the coding languages used at Breakthrough (SQL, R, Python). Proficient in executing of the following: Advanced statistical modeling techniques (ML/AI) Data engineering concepts Optimization model methodologies Forecasting model development and management Ability to deploy developed models into a production system. This individual will be considered a mentor to junior members of the Data Science Team contributing to their professional growth. Innovation The Data Science Team is one of the teams at the forefront of innovation at Breakthrough. This individual will be expected to be a leader in the ideation that occurs within the team. This individual will be involved in leading white boarding sessions with other Data Science team members and team members outside of the Data Science Team. They will be expected to generate new ideas, foster discussion and be a leader in the innovation process. This individual will build innovative solutions such as simulations and proof-of-concepts that will be utilized for making key decisions by the business. This individual will also take part in the direction of junior team members in the development of innovative solutions. This individual will be expected to pay attention to industry trends and model development potential use cases to leverage new ideas at Breakthrough. Execution The responsibilities this individual also includes: Building data sets that they will use to estimate statistical and analytical models to solve complex analytical problems like forecasting and optimizations. Building data visualizations that communicate the results of the project to internal stakeholders. Communicating and presenting outcomes to internal and external stakeholders including senior leadership. Writing documentation that outlines the work done and reviewing more junior members' documentation Using code repositories for version control of models built This individual will be leading, assigning and managing the execution of projects and will not be a key contributor in all projects. This will involve: Talking with project owners from outside the Data Intelligence Organization. Presenting outcomes to leadership. Collaboration: This individual will need to have strong interpersonal skills with the ability to build rapport and establish credibility with stakeholders at all levels including senior leadership. Working with all team members and lead in the improvement of development processes. Embrace mentorship of junior team members and develop and execute training programs. QUALIFICATIONS Required: Bachelor's or Master's degree in Business Administration, Economics, Statistics, Computer Science or a related field involving problem solving and critical thinking, or equivalent work experience. 5+ years working in data science-specific roles, with demonstrated experience working in roles that require proficiency with data modeling, statistical modeling, model deployment, data management and SQL-based development. Expert ability to develop effective data visualizations that are used by upper management in decision-making situations. Expertise in multiple programming languages, frameworks, and technologies, specifically Python, SQL, R, and orchestrators (DBT, Vertex, Airflow etc.). BigQuery experience a plus. Proficient understanding of database concepts and data modeling principles. Demonstrated high-level business acumen with a supply chain/transportation background being preferred. Excellent problem-solving skills and the ability to navigate complex analytical and data-related challenges. Advanced analytical skills with an emphasis on attention to detail and being able to look at a problem from multiple angles and perspectives. Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Amplifi is the go-to data consultancy for enterprise organizations that want their success to be driven by data. We empower our clients to innovate, grow and succeed by establishing and delivering strategies across all elements of the data value chain. From the governance and management of data through to analytics and automation, our integrated approach to modern data ecosystems delivers measurable results through a combination of expert consultancy and best-in-breed technology. Our company and team members are proud to empower our clients' businesses by providing exceptional solutions and value, as we truly believe their success is our success. We thrive on delivering excellent solutions and overcoming technical and business challenges. As such, we're looking for like-minded individuals to learn, grow, and mentor others as a part of the Amplifi family. Position Summary The Data Engineer will be responsible for designing, building, and maintaining scalable, secure data pipelines that drive analytics and support operational data products. The ideal candidate brings a strong foundation in SQL, Python, and modern data warehousing with a deep understanding of Snowflake, Databricks, or Microsoft Fabric, and a solid understanding of cloud-based architectures. What You Will Get To Do Design, develop, and optimize robust ETL/ELT pipelines to ingest, transform, and expose data across multiple systems. Build and maintain data models and warehouse layers, enabling high-performance analytics and reporting. Collaborate with analytics, product, and engineering teams to understand data needs and deliver well-structured data solutions. Write clean, efficient, and testable code in SQL and Python to support automation, data quality, and transformation logic. Support deployment and orchestration workflows, using Azure Data Factory, dbt, or similar tools. Work across multi-cloud environments (Azure preferred; AWS and GCP optional) to integrate data sources and manage cloud-native components. Contribute to CI/CD practices and data pipeline observability (monitoring, logging, alerting). Ensure data governance, security, and compliance in all engineering activities. Support ad hoc data science and machine learning workflows within Dataiku. What You Bring to the Team 4+ years of experience in a data engineering or related software engineering role. Proficiency in SQL and Python for data manipulation, transformation, and scripting. Strong experience working with Snowflake and MSSQL Server. Practical knowledge of working with cloud data platforms, especially Microsoft Azure. Experience with modern data modeling and warehouse optimization techniques. Experience with Databricks, Azure Data Factory, or DBT preferred. Exposure to Microsoft Fabric components like OneLake, Pipelines, or Direct Lake. Familiarity with cloud services across AWS, GCP, or hybrid cloud environments. Understanding of or curiosity about Dataiku for data science and advanced analytics collaboration. Ability to work independently and with a team in a hybrid/remote environment. Location Wisconsin is preferred. Travel Ability to travel up to 10% of the time. Benefits & Compensation Amplifi offers excellent compensation and benefits including, but not limited to, health, dental, 401(k) program, employee assistance program, short and long-term disability, life insurance, accidental death and dismemberment (AD&D), PTO program, flex work schedules and paid holidays. Equal Opportunity Employer Amplifi is proud to be an equal opportunity employer. We do not discriminate against applicants based on race, religion, disability, medical condition, national origin, gender, sexual orientation, marital status, gender identity, pregnancy, childbirth, age, veteran status or other legally protected characteristics.

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise Data Warehouse. This individual will perform development, analysis, testing, debugging, documentation, implementation, and maintenance of interfaces to support the Enterprise Data Warehouse and related applications. They will consult with other technical resources and key departmental users on solutions and best practices. They will monitor performance and effectiveness of the data warehouse and recommend changes as appropriate. Location: Candidates must reside in the state of Wisconsin for consideration. This position is eligible to work at your home office (reliable internet is required), at our office in Brookfield or Menasha, or a combination of both in our hybrid workplace model. Hours: 1.0 FTE, 40 hours per week, 8am-5pm Monday through Friday, may be required to work later hours when system changes are being implemented or problems arise Check out our 2024 Community Report to learn a little more about the difference our employees make in the communities we live and work in. As an employee, you will have the opportunity to work hard and have fun while getting paid to volunteer in your local neighborhood. You too, can be part of the team and making a difference. Apply to this position to learn more about our team. Job Responsibilities: Perform end to end delivery of data interfaces in various stages of the Enterprise Data Warehouse in accordance with professional standards and industry best practice Perform all phases of the development lifecycle including solution design, creation of acceptance criteria, implementation, technical documentation, development and execution of test cases, performance monitoring, troubleshooting, data analysis, and profiling Consult with Developers, Engineers, DBAs, key departmental stakeholders, data governance and leadership on technical solutions and best practice Monitor and audit the Enterprise Data Warehouse for effectiveness, throughput, and responsiveness. Recommend changes as appropriate. Troubleshoot customer complaints related to system performance issues Maintain effective communication with customers from all departments for system development, implementation, and problem resolution Required to take call to assist in resolution of technical problems Other duties and responsibilities as assigned Job Requirements: Requires Associate Degree in Computer Science, Business, or related technical field; equivalent years of experience may be substituted Minimum of 1 year experience in program interfacing required Experience with T-SQL development, SSIS development, and database troubleshooting skills required Network Health is an Equal Opportunity Employer

Accelerate the possible by joining a winning Amcor team that's transforming the packaging industry and improving lives around the world. At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It's our core value and integral to how we do business. Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win - adapting quickly in an everchanging world - and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business. To learn more about playing for Team Amcor, visit ************* I LinkedIn I Glassdoor I Facebook I YouTube Job Description Amcor is currently looking for innovative, creative, and motivated individuals ready to make a difference. R&D Engineer Co-Ops will interact with customers, sales, marketing, and manufacturing individuals. Work on projects for external customers as well as on the latest and greatest specs, developments, and manufacturing equipment. This role is required to be on-site in Neenah, WI. TIMELINE FOR CO-OP May - December or January - August WHAT WE VALUE Strong interpersonal and communication skills, both oral and written, to work with manufacturing operations personnel. Must have strong analytical and problem-solving skills. Must have strong time management skills to handle multiple ongoing projects in addition to day-to-day process problems. Solid computer skills including Microsoft Word and Excel, Outlook, Share Point, and the ability to quickly learn software needed to perform job specific duties. WHAT WE WANT FROM YOU Actively pursuing a bachelor's degree in engineering (Chemical, Electrical, Mechanical, Material Science, or Industrial). Our Expectations We expect our people to be guided by The Amcor Way and demonstrate our Values every day to enable the business to win. We are winning when: Our people are engaged and developing as part of a high-performing Amcor team Our customers grow and prosper from Amcor's quality, service, and innovation Our investors benefit from Amcor's consistent growth and superior returns The environment is better off because of Amcor's leadership and products Equal Opportunity Employer/Minorities/Females/Disabled/Veterans/Sexual Orientation/Gender Identity Amcor is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you would like more information about your EEO rights as an applicant under the law, please click on the "Know Your Rights: Workplace Discrimination is Illegal" Poster . If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call ************ and let us know the nature of your request and your contact information. E-Verify We verify the identity and employment authorization of individuals hired for employment in the United States. Benefits When you join Amcor, you will have access to a comprehensive benefits and compensation package that includes: Medical, dental and vision plans Flexible time off, starting at 80 hours paid time per year for full-time salaried employees Company-paid holidays starting at 9 days per year and may be slightly higher by location Wellbeing program & Employee Assistance Program Health Savings Account/Flexible Spending Account Life insurance, AD&D, short-term & long-term disability, and voluntary accident disability benefits are available Paid Parental Leave Retirement Savings Plan with company match Tuition Reimbursement (dependent upon approval) Discretionary annual bonus program (initial eligibility dependent upon hire date)

Day to Day - Own data pipeline development on GCP using BigQuery, Dataform, Dataflow, and Cloud Composer; design and implement performant, cost aware patterns for batch and near real time workloads. - Orchestrate source to warehouse ingestion (e.g., Fivetran) and transformations in dbt to move data "from point A to point B" with robust testing, documentation, and version control. - Model warehouse tables (staging, marts, dimensional models) that support analytics and manufacturing operations, drive standards for naming, partitioning, clustering, and data quality. - Partner cross functionally with application teams, manufacturing operations, and business stakeholders to understand requirements and translate them into scalable data solutions. - Contribute to platform governance: CI/CD for data assets, secrets management, cost monitoring, access controls, and compliance aligned with enterprise standards. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 7+ years of professional Data Engineering experience (Senior/Staff level). - Proven delivery on GCP: BigQuery, Dataform, Dataflow, Cloud Composer (or equivalent orchestration like Airflow). - Hands on with dbt (testing, documentation, packages) and experience operationalizing connector based ingestion (e.g., Fivetran). - Strong SQL engineering and performance tuning in columnar warehouses; familiarity with query cost optimization. - Experience migrating from on prem systems to cloud data warehouses, including schema rationalization and data quality strategies. - Solid software engineering foundations: version control (git), code review, CI/CD for data, Infrastructure as Code (Terraform or similar preferred). - Excellent communication skills for stakeholder alignment and knowledge sharing.

The Assistant Data Scientist is responsible for assisting in the processing, cleaning, and analyzing of large volumes of data to develop business solutions for a wide variety of clients and projects. This position assists in performing tasks utilizing statistics, machine learning, programming, and data modeling to discover information, recognize patterns and trends to address business problems. + Assist in development and application of data solutions for cleansing data to remove errors and review consistency. + Assist in analysis of data to discover information, business value, patterns and trends to guide development of asset business solutions. + Assist in gathering data, finding patterns and relationships and creating prediction models to evaluate client assets. + Assist in conducting research and apply existing data science methods to business line problems. + Assist in monitoring client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results. + Assist in production of reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business. + Performs other duties as assigned + Complies with all policies and standards **Qualifications** + Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program Required + Prior internship or related consulting experience Preferred + Experience working with SQL, R, Java, Python, SAS, SPSS required. + Basic knowledge of data mining and predictive analytics. + Familiarity with machine learning and predictive algorithms. + Basic knowledge of data visualization. + Ability to work with team members and clients to assess needs, provide assistance, and resolve problems. + Strong problem-solving and analytical skills. + Strong attention to detail. + Strong verbal and written communication. + Candidates must be legally authorized to work permanently (i.e., without time limitations, without restrictions or without need for work sponsorship) in the country where this position is located. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. EEO/Disabled/Veterans **Job** Information Technology **Primary Location** US-WI-Appleton **Schedule:** Full-time **Travel:** Yes, 5 % of the Time **Req ID:** 260230 \#LI-MC #ACO

The Staff Data Scientist plays a critical role in leveraging data to drive business insights, optimize operations, and support strategic decision-making. You will be responsible for designing and implementing advanced analytical models, developing data pipelines, and applying statistical and machine learning techniques to solve complex business challenges. This position requires a balance of technical expertise, business acumen, and communication skills to translate data findings into actionable recommendations. + Develop and apply data solutions for cleansing data to remove errors and review consistency. + Perform analysis of data to discover information, business value, patterns and trends in support to guide development of asset business solutions. + Gather data, find patterns and relationships and create prediction models to evaluate client assets. + Conduct research and apply existing data science methods to business line problems. + Monitor client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results. + Produce reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business. + Collaborate with cross-functional stakeholders to assess needs, provide assistance and resolve problems. + Translate business problems into data science solutions. + Performs other duties as assigned + Complies with all policies and standards Qualifications + Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience required or experience may be substituted for degree requirement required + Experience in data mining and predictive analytics. + Strong problem-solving skills, analytical thinking, attention to detail and hypothesis-driven approach. + Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences. + Proficiency with data visualization tools (Power BI, Tableau, or Python libraries). + Experience with Azure Machine Learning, Databricks, or similar ML platforms. + Expert proficiency in Python with pandas, scikit-learn, and statistical libraries. + Advanced SQL skills and experience with large datasets. + Experience with predictive modeling, time series analysis, and statistical inference. + Knowledge of A/B testing, experimental design, and causal inference. + Familiarity with computer vision for image/video analysis. + Understanding of NLP techniques for document processing. + Experience with optimization algorithms and operations research techniques preferred. + Knowledge of machine learning algorithms, feature engineering, and model evaluation. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. EEO/Disabled/Veterans Job Information Technology Primary Location US-WI-Appleton Schedule: Full-time Travel: Yes, 5 % of the Time Req ID: 253790 \#LI-MF #ACO N/A

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day. SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems. YOUR IMPACT: * Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C. * Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns. * Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences. * Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements. * Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products. * Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. * Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands. * Coach and mentor other team members on new technologies and best practices across data science and business intelligence. * Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. * Actively supports the advancement of the strategic roadmap for data science. MINIMUM QUALIFICATIONS: * Bachelors degree with five (5) or more years of experience in the field or in a related area. STANDOUT QUALIFICATIONS: * Masters or doctorate degree * Expertise in Power Platforms * Familiarity with LLM (open source or closed) * Experience in Front end web app development (Flaskapp, Gradio etc) * Familiarity with RAG architecture Pay Range: $118,600.00 - $204,000.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

We are seeking a skilled and motivated Senior Data Scientist to join our dynamic and innovative Data Intelligence Organization. As a member of our Data Science team, you will play a crucial role in leveraging, building and developing analytical tools to solve complex business problems. You will also be expected to act as mentor to junior team members, growing their skillsets while working to advance your skillset and developing new solutions to add to the analytical tools available to the Data Science Team and the Data Intelligence Organization. This role will work on-site in Green Bay with in office expectations Monday - Thursday and optional remote work Friday's as business needs allow. JOB RESPONSIBILITIES Development: * The expectation is that this individual will join the team being * Expertly skilled in the following: * Understanding of core processes: data collection, cleansing, data models, data modeling and data visualization. * Understanding of the businesses for which Breakthrough provides solutions and products and how those solutions and products operate. * While maintaining company coding standards, demonstrate the ability to build solutions, solve problems and develop in the coding languages used at Breakthrough (SQL, R, Python). * Proficient in executing of the following: * Advanced statistical modeling techniques (ML/AI) * Data engineering concepts * Optimization model methodologies * Forecasting model development and management * Ability to deploy developed models into a production system. * This individual will be considered a mentor to junior members of the Data Science Team contributing to their professional growth. Innovation * The Data Science Team is one of the teams at the forefront of innovation at Breakthrough. This individual will be expected to be a leader in the ideation that occurs within the team. * This individual will be involved in leading white boarding sessions with other Data Science team members and team members outside of the Data Science Team. They will be expected to generate new ideas, foster discussion and be a leader in the innovation process. * This individual will build innovative solutions such as simulations and proof-of-concepts that will be utilized for making key decisions by the business. * This individual will also take part in the direction of junior team members in the development of innovative solutions. * This individual will be expected to pay attention to industry trends and model development potential use cases to leverage new ideas at Breakthrough. Execution * The responsibilities this individual also includes: * Building data sets that they will use to estimate statistical and analytical models to solve complex analytical problems like forecasting and optimizations. * Building data visualizations that communicate the results of the project to internal stakeholders. * Communicating and presenting outcomes to internal and external stakeholders including senior leadership. * Writing documentation that outlines the work done and reviewing more junior members' documentation * Using code repositories for version control of models built * This individual will be leading, assigning and managing the execution of projects and will not be a key contributor in all projects. This will involve: * Talking with project owners from outside the Data Intelligence Organization. * Presenting outcomes to leadership. Collaboration: * This individual will need to have strong interpersonal skills with the ability to build rapport and establish credibility with stakeholders at all levels including senior leadership. * Working with all team members and lead in the improvement of development processes. * Embrace mentorship of junior team members and develop and execute training programs. QUALIFICATIONS Required: * Bachelor's or Master's degree in Business Administration, Economics, Statistics, Computer Science or a related field involving problem solving and critical thinking, or equivalent work experience. * 5+ years working in data science-specific roles, with demonstrated experience working in roles that require proficiency with data modeling, statistical modeling, model deployment, data management and SQL-based development. * Expert ability to develop effective data visualizations that are used by upper management in decision-making situations. * Expertise in multiple programming languages, frameworks, and technologies, specifically Python, SQL, R, and orchestrators (DBT, Vertex, Airflow etc.). BigQuery experience a plus. * Proficient understanding of database concepts and data modeling principles. * Demonstrated high-level business acumen with a supply chain/transportation background being preferred. * Excellent problem-solving skills and the ability to navigate complex analytical and data-related challenges. * Advanced analytical skills with an emphasis on attention to detail and being able to look at a problem from multiple angles and perspectives. * Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. #Breakthrough DIVISION: Breakthrough U.S. Venture requires that a team member have and maintain authorization to work in the country in which the role is based. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency unless based on business need. U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture. U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at **************.

Your career at Deutsche Börse Group Your area of work: As an intern - Data Science (f/m/d) you will support the team in the Data Product Management department in the development of innovative data products and analytical solutions. Your responsibilities: * You will help develop machine learning models to identify patterns and deliver measurable business value. * You will use SQL/PySpark to query and manipulate data, conduct exploratory data analysis, and create data models for different use cases. * You will work with various data sources, including big data tools (e.g. Azure Databricks) and cloud technologies, to create different datasets. * You will use data analytics and business intelligence (BI) tools to build new data products and analytical solutions according to business requirements. * You will help develop deep understanding of data products while significantly contributing to their enhancement. * You will have regular discussions with the team and present your solutions and findings. * You will work with different stakeholders under the guidance of an experienced supervisor. Your profile: * You are enrolled in a Bachelor's or Master's Degree programme and can provide an internship agreement, OR have graduated with a Bachelor's degree or similar for no more than 6 months * Ideally, you have already gained practical experience in conducting quantitative analysis (e.g. experience abroad, internships) and are interested in financial data. * You have experience with and knowledge of Business Intelligence (BI) tools such as SAP Analytics Cloud, PowerBI. * You have foundational programming skills in Python and SQL/PySpark. * You can understand technical information quickly, derive insights and devise solutions. You have an independent and responsible way of working with attention to detail and agile communication and possess a passion to learn. * You are proficient in written and spoken English.

Accelerate the possible by joining a winning Amcor team that's transforming the packaging industry and improving lives around the world. At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It's our core value and integral to how we do business. Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win - adapting quickly in an everchanging world - and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business. To learn more about playing for Team Amcor, visit ************* I LinkedIn I Glassdoor I Facebook I YouTube Job Description As the R&D Operations Analyst, you'll be responsible for implementing, governing, and sustaining the systems and processes to support the daily operational needs of the Amcor Flexibles North America R&D organization. The primary scope of responsibility will encompass specification management with a focus on standardization and simplification. You'll also have responsibility for ensuring data integrity and accuracy while collaborating on projects with cross functional areas. Additionally, you'll use analytical and quantitative methods and specification rationalization to support the R&D organization. WHAT YOU GET TO DO Specification Maintenance & Governance: Maintain process standards and data rules to ensure system data integrity across R&D tools and systems Perform system approval and governance for technical specifications, material (direct, groups, blends), manufacturing and quality specifications Lead and support system implementation initiatives Execute daily requests from R&D and AFNA business partners Lead and support end to end processes for continuous improvement opportunities across AFNA R&D Participates in end-to-end process alignment with other areas and recommends processes as applicable for the division Lead Implementation and standardization of elements of the Technical Specifications, Quality Test Methods, Specification and SAP data Execute maintenance plan for Technical Specifications (Quality, Materials, Manufacturing, Special instructions). Define Technical Specification standards for use in the R&D community Learning, Training and Documentation: Maintain documentation and work instructions for core R&D systems and processes Maintain AFNA R&D Operations content in SharePoint Maintain training curriculum for core R&D systems and processes Provide training for new employees as well as on-going training requirements on R&D Systems Mentor and develop expertise in others Measures effectiveness of the solutions and makes necessary adjustments as continuous improvements Supports knowledge sharing and knowledge transfer efforts. Additional Role Responsibilities: Actively engage in change management process Define and manage Project Plans, Project Team Meetings, and establish and develop Project Stakeholder relationships. Continuously learns company business process and gains functional expertise Participates on the best approach to pilot and deploy solutions WHAT WE VALUE Demonstrated project leadership to deliver results while sustaining a great culture Ability to understand relational database and manage the data including reports preferred Solid Planning and organizational skills Attention to detail with high level of accuracy with excellent analytical and problem-solving skills Advanced Excel Knowledge Collaborating & Influencing Multiple language capability preferred though not required Adaptability Knowledge pf and demonstrated implementation in use of continuous improvement tools WHAT WE WANT FROM YOU Required: Bachelor's degree 4+ years of experience with systems, data and project leadership Experience with developing and maintaining processes and tools Previous experience working in ERP systems Knowledge of manufacturing processes, structures, machines, materials and quality inspection methods Ability to travel up to 10% Preferred: Expertise in Short Message Service (SMS) Working experience in SAP ERP system Master data and regulatory experience #LI-onsite Our Expectations We expect our people to be guided by The Amcor Way and demonstrate our Values every day to enable the business to win. We are winning when: Our people are engaged and developing as part of a high-performing Amcor team Our customers grow and prosper from Amcor's quality, service, and innovation Our investors benefit from Amcor's consistent growth and superior returns The environment is better off because of Amcor's leadership and products Equal Opportunity Employer/Minorities/Females/Disabled/Veterans/Sexual Orientation/Gender Identity Amcor is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you would like more information about your EEO rights as an applicant under the law, please click on the "Know Your Rights: Workplace Discrimination is Illegal" Poster . If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call ************ and let us know the nature of your request and your contact information. E-Verify We verify the identity and employment authorization of individuals hired for employment in the United States. Benefits When you join Amcor, you will have access to a comprehensive benefits and compensation package that includes: Medical, dental and vision plans Flexible time off, starting at 80 hours paid time per year for full-time salaried employees Company-paid holidays starting at 9 days per year and may be slightly higher by location Wellbeing program & Employee Assistance Program Health Savings Account/Flexible Spending Account Life insurance, AD&D, short-term & long-term disability, and voluntary accident disability benefits are available Paid Parental Leave Retirement Savings Plan with company match Tuition Reimbursement (dependent upon approval) Discretionary annual bonus program (initial eligibility dependent upon hire date)

Your career at Deutsche Börse Group Your area of work: As part of the newly established team, you will support the roll-out of data governance program across multiple business segments and streams, assisting businesses during the onboarding process, as well as supporting creation of respective communications to ensure good cross-functional alignment. The internship involves an intersection of experience between communication strategy, building expertise in technology - combined with the niche expertise in the evolving field of data management and governance. Your responsibilities: * Support development of internal webpage for Data Governance communication - including creation of data governance awareness sessions (interactive material and use cases, educational knowledge base). * Prepare communication drafts, memos and tailored content for internal employee engagement network, promoting understanding and awareness among staff - on Data Governance key concepts and building blocks. * Support core team in Data governance concepts roll-out (Critical Data Elements, Data Governance Workflows, Data Quality). Create, review, and maintain relevant documentation. * Support preparation of workshops with cross-functional stakeholder groups (domain owners, data stewards, data custodians) - to capture data governance challenges and use cases. Accompany onboarding into data governance and management tooling. * Coordinate with business, tech and other relevant functions to support data governance training development and preparation - to drive alignments and common understanding of core concepts, operating model, workflows and collaboration models between the teams. * Assist in management reporting preparation, project management tasks and ad-hoc assessments, as required. Your profile: * You are enrolled in a Bachelor's or Master's Degree programme with a recognized institution focusing on Financial Markets, Data and Technologies and can provide an internship agreement, OR have graduated with a Bachelor's degree or similar for no more than 6 months * Comfortable with creating graphics, presentations and managing communication channels. * Sound judgement, strong problem-solving and analytical skills, research skills. * Ability to explain complex matters in a succinct and intuitive way. * Proactiveness, willingness to take responsibility and learn quickly. Result-oriented approach to work. * High commitment, team spirit, good interpersonal skills. * Fluent in written and spoken English, French and/or German will be an asset.

**Accelerate the possible by joining a winning Amcor team that's transforming the packaging industry and improving lives around the world.** At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It's our core value and integral to how we do business. Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win - adapting quickly in an everchanging world - and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business. To learn more about playing for Team Amcor, visit ************* I LinkedIn I Glassdoor I Facebook I YouTube **Job Description** As the R&D Operations Analyst, you'll be responsible for implementing, governing, and sustaining the systems and processes to support the daily operational needs of the Amcor Flexibles North America R&D organization. The primary scope of responsibility will encompass specification management with a focus on standardization and simplification. You'll also have responsibility for ensuring data integrity and accuracy while collaborating on projects with cross functional areas. Additionally, you'll use analytical and quantitative methods and specification rationalization to support the R&D organization. **WHAT YOU GET TO DO** **Specification Maintenance & Governance:** + Maintain process standards and data rules to ensure system data integrity across R&D tools and systems + Perform system approval and governance for technical specifications, material (direct, groups, blends), manufacturing and quality specifications + Lead and support system implementation initiatives + Execute daily requests from R&D and AFNA business partners + Lead and support end to end processes for continuous improvement opportunities across AFNA R&D + Participates in end-to-end process alignment with other areas and recommends processes as applicable for the division + Lead Implementation and standardization of elements of the Technical Specifications, Quality Test Methods, Specification and SAP data + Execute maintenance plan for Technical Specifications (Quality, Materials, Manufacturing, Special instructions). + Define Technical Specification standards for use in the R&D community **Learning, Training and Documentation:** + Maintain documentation and work instructions for core R&D systems and processes + Maintain AFNA R&D Operations content in SharePoint + Maintain training curriculum for core R&D systems and processes + Provide training for new employees as well as on-going training requirements on R&D Systems + Mentor and develop expertise in others + Measures effectiveness of the solutions and makes necessary adjustments as continuous improvements + Supports knowledge sharing and knowledge transfer efforts. **Additional Role Responsibilities:** + Actively engage in change management process + Define and manage Project Plans, Project Team Meetings, and establish and develop Project Stakeholder relationships. + Continuously learns company business process and gains functional expertise + Participates on the best approach to pilot and deploy solutions **WHAT WE VALUE** + Demonstrated project leadership to deliver results while sustaining a great culture + Ability to understand relational database and manage the data including reports preferred + Solid Planning and organizational skills + Attention to detail with high level of accuracy with excellent analytical and problem-solving skills + Advanced Excel Knowledge + Collaborating & Influencing + Multiple language capability preferred though not required + Adaptability + Knowledge pf and demonstrated implementation in use of continuous improvement tools **WHAT WE WANT FROM YOU** **Required:** + Bachelor's degree + 4+ years of experience with systems, data and project leadership + Experience with developing and maintaining processes and tools + Previous experience working in ERP systems + Knowledge of manufacturing processes, structures, machines, materials and quality inspection methods + Ability to travel up to 10% **Preferred:** + Expertise in Short Message Service (SMS) + Working experience in SAP ERP system + Master data and regulatory experience \#LI-onsite **Our Expectations** We expect our people to be guided by The Amcor Way and demonstrate our Values every day to enable the business to win. We are winning when: + Our people are engaged and developing as part of a high-performing Amcor team + Our customers grow and prosper from Amcor's quality, service, and innovation + Our investors benefit from Amcor's consistent growth and superior returns + The environment is better off because of Amcor's leadership and products **Equal Opportunity** **Employer/Minorities/Females/Disabled/Veterans/Sexual** **Orientation/Gender Identity** Amcor is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you would like more information about your EEO rights as an applicant under the law, please click on the _"Know Your Rights: Workplace Discrimination is Illegal" Poster_ . If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call ************ and let us know the nature of your request and your contact information. **E-Verify** We verify the identity and employment authorization of individuals hired for employment in the United States. **Benefits** When you join Amcor, you will have access to a comprehensive benefits and compensation package that includes: + Medical, dental and vision plans + Flexible time off, starting at 80 hours paid time per year for full-time salaried employees + Company-paid holidays starting at 9 days per year and may be slightly higher by location + Wellbeing program & Employee Assistance Program + Health Savings Account/Flexible Spending Account + Life insurance, AD&D, short-term & long-term disability, and voluntary accident disability benefits are available + Paid Parental Leave + Retirement Savings Plan with company match + Tuition Reimbursement (dependent upon approval) + Discretionary annual bonus program (initial eligibility dependent upon hire date) **About Amcor** Amcor is the global leader in developing and producing responsible consumer packaging and dispensing solutions across a variety of materials for nutrition, health, beauty and wellness categories. Our global product innovation and sustainability expertise enables us to solve packaging challenges around the world every day, producing a range of flexible packaging, rigid packaging, cartons and closures that are more sustainable, functional and appealing for our customers and their consumers. We are guided by our purpose of elevating customers, shaping lives and protecting the future. Supported by a commitment to safety, over 75,000 people generate $23 billion in annualized sales from operations that span over 400 locations in more than 40 countries. NYSE: AMCR; ASX: AMC ************* | LinkedIn | YouTube Amcor is committed to providing a secure and reliable experience for all job seekers. If you are looking to join Amcor, please read this page to help you avoid recruitment scams. Click here!