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Associate Data Scientist Jobs in Appleton, WI (NOW HIRING)

Sage X3 experience (ERP). Associate is expected to operate at a proficient level across the ... Bachelor's degree in engineering or computer sciences and five years' experience, or a Master ...

... , Data Warehouse methodologies. Biztalk Developer experience a plus. * Strong system analysis ... degree in Computer Science or a technology-related field. In lieu, will consider an Associate ...

Responsibilities: * Develop and maintain a comprehensive knowledge of RM systems, data ... Bachelors degree in computer science, information systems or related field. * A minimum of 6 years ...

Micro Lab Tech

Green Bay, WI · On-site

$19.50/hr

Associate degree in Life Science or two years of laboratory experience, preferred * Broad knowledge ... 20svh)))]" data-turn-id="request-WEB:5caf57a4-bfbe-4957-8ec6-c7b4b55e8248-0" data-testid ...

Coordinates projects and performs data collection * Provides support to all staff members of the ... Associates Degree in Natural Sciences or related scientific disciplines preferred * Working in a ...

Technical Services Specialist

Appleton, WI

$25.25 - $34.25/hr

Data and Certificate Management * Review incoming raw material and supplier Certificates of ... Qualifications * Associate's degree in Quality, Chemistry, Engineering, Technical Sciences ...

Governance & Data Quality: Establish and enforce data governance standards, ensuring accuracy ... Bachelor's or Associate Degree in Computer Science, Information Systems or related field with a ...

Technical Services Specialist

Appleton, WI · On-site

$25.25 - $34.25/hr

Data and Certificate Management * Review incoming raw material and supplier Certificates of ... Qualifications * Associate's degree in Quality, Chemistry, Engineering, Technical Sciences ...

Maintain and control documentation and data, including completion of customer quality surveys ... Background in labels, packaging, or paper science preferred * Familiarity with ISO 9001 compliance

Senior Software Engineer

Green Bay, WI · On-site

$119K - $157K/yr

... IT associates. Skills and qualifications: * Bachelor's degree in computer science, information ... Experience with data migration, transformation, and integration tools (e.g. Oracle Integration ...

College of Science, Technology, Engineering & Math Reports To: Dean, Associate LOCATION: Green Bay ... data to ensure consistent quality instruction and assessment * Actively instructs and manages a ...

Showing results 21-40

Associate Data Scientist information

See Appleton, WI salary details

$56.1K

$66.4K

$125.9K

How much do associate data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for associate data scientist in Appleton, WI is $66,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,600.00 and $58,100.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What can I do with an associate data scientist?

An associate data scientist analyzes data to identify patterns, build models, and support decision-making using tools like Python, R, or SQL. This role often involves collaborating with teams, developing predictive models, and gaining experience to advance to more senior data science positions.
What are the most commonly searched types of Data Scientist jobs in Appleton, WI? The most popular types of Data Scientist jobs in Appleton, WI are:
What cities near Appleton, WI are hiring for Associate Data Scientist jobs? Cities near Appleton, WI with the most Associate Data Scientist job openings:
Infographic showing various Associate Data Scientist job openings in Appleton, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $66,387 per year, or $31.9 per hour.

Server Engineer Lead (VMWare)

AdientOne LLC

Menasha, WI • On-site

Other

Posted 11 days ago


Job description

DUTIES AND RESPONSIBILITES:
• Responsible for elicitation, analysis, and documentation of business requirements.
• Research and exploration of user requirements, costs, and benefits in support of documentation required for the demand management process.
• Responsible for analyzing the business needs to identify new processes and process improvements that will meet those needs.
• Documents current business processes and models to define requirements and/or gaps.
• Analyze detailed system factors including input/output requirements, information and paper flow, hardware, and software needs.
• Analyze “soft" system factors including roles, responsibilities, policy, culture, etc.
• Evaluate the impact of potential software and process changes on the organization.
• Develop and facilitate groups as necessary in pursuit of eliciting and defining requirements.
• Assist in the creation of the business case documentation.
• Understanding of architectural consistency and usability standards.
• Defines and develops user test cases and validates test results during testing.
• Executes unit and functional test cases.
• May conduct system demonstrations and training sessions, as well as participate in design/review of training content.
• Plays a third level support role by helping to troubleshoot and resolve issues with production systems.
• Participates in associate meetings and communicates any concerns to management.
QUALIFICATIONS AND REQUIREMENTS:
• Bachelor’s degree in computer science, Information Systems, Business, or another related field or equivalent work experience.
• Proven experience leading data migration requirements from legacy systems into a new ERP (Sage X3) environment
• Strong hands-on expertise in requirements elicitation, documentation, and management, with emphasis on data mapping, transformation rules, and validation
• Deep understanding of data structures, data quality, and migration best practices, with the ability to identify gaps and risks early
• Self-driven and accountable professional with strong stakeholder management and communication skills, able to drive outcomes with minimal oversight
• Working knowledge of Confluence and JIRA.
• Experience in any of the following business areas is desired: Sales operations, order entry, accounting, finance, procurement, warehouse operations, order management, and order fulfillment.
• Minimum of 3-5 years’ business analysis or systems analysis experience is preferred.
• Bonus: Sage X3 experience (ERP).
Associate is expected to operate at a proficient level across the following areas of technical knowledge and skill:
• Ability to organize and prioritize work.
• Detail oriented, proactive, creative, and efficient
• Intermediate level abilities in Excel, Outlook, PowerPoint, Visio, and Word
• Familiarity with application integration methods to include understanding of data mapping process.
• Ability to effectively work both independently and collaboratively in a team environment
• Ability to work on simultaneous and complex projects, with domain expertise in at least one business area.
• Expertise in ERP solution selection and implementation is a plus
• Ability to communicate effectively to both technical and non-technical audiences in written and non-written format
• Ability to work with all levels of associates
• Ability to work with minimal supervision in a very dynamic environment
• Ability to learn new systems and tools
• Knowledge of software development life cycle methodologies, processes, and procedures.
• Active listener
• Effective in a variety of formal/informal presentation settings: one-on-one, small, and large groups.

Job Title: Server Engineer Lead

Location: Menasha, WI

Permanent

Top 3 qualifications:

  • Enterprise level data center experience.
  • Automation/Compute
  • Strong communication and collaboration.

Must be able to travel 10-15% of the time to local data centers.

ITAR required

Job Description:

The Server Engineer - Lead is a senior technical contributor responsible for architecting, operating, and optimizing organizations enterprise compute and virtualization ecosystem. This role ensures the security, stability, scalability, and lifecycle management of a large fleet of Intel-based server hardware and virtual infrastructure built on VMware and other hypervisors that support critical manufacturing, ERP, engineering, and enterprise business applications across data center and hybrid cloud environments.

The successful candidate will combine deep expertise in enterprise server hardware, virtualization, automation, and infrastructure operations to drive operational excellence, standardization, resiliency, and modernization. They will be accountable for the full compute platform stack, from hardware strategy and firmware governance to virtualization design, performance optimization, capacity planning, and operational support, while advancing automation, monitoring, and platform engineering practices that improve reliability and efficiency at scale.  

Enterprise Compute and Virtualization Platform Management

  • Lead the architecture, implementation, lifecycle management, and operational support of Client's large-scale enterprise compute environment, including Intel-based server platforms and virtualization platforms based on VMware and other hypervisors.
  • Manage server hardware standards, platform design, firmware strategy, host lifecycle management, and infrastructure refresh planning across the enterprise.
  • Oversee the health, performance, availability, and capacity of virtualization environments, including hypervisor hosts, management platforms, clusters, distributed resource scheduling, and high availability configurations.
  • Design and maintain resilient compute and virtualization solutions that support mission-critical enterprise workloads with strong emphasis on uptime, recoverability, and operational consistency.
  • Partner with storage, networking, backup, security, and application teams to ensure end-to-end performance and reliability of hosted workloads.
  • Establish and maintain operational standards for provisioning, patching, upgrades, host remediation, and configuration consistency across the compute estate.
  • Infrastructure Operations and Platform Reliability
  • Serve as a senior escalation point for complex server hardware and virtualization incidents, leading root-cause analysis and restoration efforts for critical platform issues.
  • Drive proactive management of system health, resource utilization, hardware events, performance bottlenecks, and operational risks across the compute environment.
  • Lead capacity planning and performance optimization efforts for compute, memory, clustering, and virtualization resources to support current and future business demand.
  • Oversee platform resilience through design and support of high-availability, fault-tolerant, and disaster recovery aligned infrastructure services.
  • Ensure enterprise operational readiness for maintenance events, lifecycle transitions, incident response, and business continuity requirements.
  • Automation and Infrastructure-as-Code
  • Architect and maintain automated workflows using tools such as Ansible, Terraform, PowerCLI, and scripting languages such as PowerShell or Python for provisioning, configuration management, patching, and compliance activities.
  • Build and enhance automation for hypervisor host deployment, cluster configuration, lifecycle management, and policy enforcement.
  • Codify operational procedures and infrastructure standards into repeatable, auditable automation workflows to reduce manual effort and improve consistency.
  • Support infrastructure change through automated validation, testing, and deployment processes that improve quality and reduce risk.
  • Virtualization Ecosystem and Modern Platform Integration
  • Lead engineering and administration of virtualization platforms, including core hypervisor services, cluster design, host profiles, virtual networking coordination, and integration with enterprise storage and backup platforms.
  • Maintain deep expertise in Vmware, as well as other hypervisors and technologies that make up Client's enterprise compute portfolio.
  • Maintain familiarity with adjacent technologies supporting the virtual infrastructure ecosystem, including hyperconverged platforms, disaster recovery tooling, monitoring systems, VMware Aria Operations, container platforms, and hybrid cloud extensions where applicable.
  • Maintain familiarity with public cloud compute services and how enterprise workloads, recovery strategies, and management practices may extend into Azure, AWS, or similar environments as part of a broader infrastructure portfolio.
  • Collaborate with platform, cloud, and application teams to support evolving infrastructure patterns, including integration with private cloud and container-hosting platforms where virtual infrastructure is foundational.
  • Provide technical leadership on modernization opportunities that improve efficiency, scalability, recoverability, and operational simplicity across the enterprise compute platform.
  • Monitoring, Visibility, and Operational Insight
  • Maintain and enhance platform visibility through enterprise monitoring, alerting, and performance analytics tools, including VMware Aria Operations, Grafana, and related ecosystem tooling, to support rapid issue detection and response.
  • Establish dashboards, alert thresholds, and operational reporting for server hardware health, virtualization performance, resource consumption, capacity trends, and availability.
  • Use telemetry, trend analysis, and platform insights to inform capacity decisions, lifecycle planning, and service improvement initiatives.
  • Partner with enterprise monitoring and operations teams to improve actionable insight across the compute and virtualization landscape.
  • Collaboration and Leadership
  • Serve as a subject matter expert and technical leader for enterprise server hardware and virtualization technologies.
  • Mentor junior engineers and help establish best practices for compute operations, virtualization engineering, automation, lifecycle management, and operational monitoring.
  • Collaborate cross-functionally with infrastructure, security, architecture, and application stakeholders to align platform capabilities with business priorities.
  • Contribute to strategic planning, roadmaps, standards development, and investment recommendations for enterprise compute and virtualization services.

Your Impact

  • The Server Engineer - Lead is essential to ensuring the stability, performance, and evolution of Client's enterprise compute and virtualization ecosystem. By combining deep server expertise with strong knowledge of VMware, VMware Aria Operations, and other hypervisors, along with operational leadership and automation discipline, this role drives reliability, standardization, and scalability across one of the company's most critical infrastructure foundations. This position is a cornerstone of modern infrastructure operations, balancing day-to-day platform resilience with the engineering rigor required to support future growth, modernization, and digital transformation.
  • An advance understanding of multiple server aspects and environment in order to take ownership of most aspects from end to end. 
  • Other duties as assigned. 
  • Regular attendance is required.

Minimum Qualifications

  • Five (5) or more years of experience in the field or in a related area.
  • Monitoring, troubleshooting, customer service, problem solving, cross team collaboration, risk analysis, analytical, operating systems, hardware, infrastructure design, scripting
  • Strong communication, time management, problem solving, teamwork, leadership, mentoring, project management, business acumen, requirements gathering, planning.

Standout Qualifications

  • Experience: 7+ years administering and architecting enterprise server infrastructure and virtualization environments at scale.
  • Technical Expertise: Deep understanding of Intel-based enterprise server hardware, VMware vSphere, ESXi, vCenter, VMware Aria Operations, and comparable virtualization platforms, including clustering, virtualization performance tuning, and infrastructure lifecycle management.
  • Platform Operations: Strong experience managing large virtualized environments supporting mission-critical enterprise applications in a highly available and regulated setting.
  • Automation: Proficiency with Ansible, Terraform, PowerCLI, and scripting languages such as PowerShell or Python for infrastructure automation and operational efficiency.
  • Hardware Lifecycle Management: Experience with firmware baselines, hardware compatibility, server provisioning, vendor interoperability, and compute platform refresh strategy.
  • Ecosystem Knowledge: Strong understanding of integration points across compute, storage, networking, backup, disaster recovery, identity, monitoring, and container platforms.
  • Container Familiarity: Familiarity with container management platforms and how virtual infrastructure supports solutions such as OpenShift, Kubernetes, or similar enterprise container ecosystems.
  • Public Cloud Familiarity: Working familiarity with public cloud compute services and adjacent infrastructure patterns in Azure, AWS, or similar environments, with understanding of how they complement enterprise data center operations.
  • Monitoring and Reliability: Experience with enterprise monitoring, alerting, and operational visibility platforms used to manage compute and virtualization health and performance, including VMware Aria Operations or similar platforms.
  • Leadership: Demonstrated ability to lead complex infrastructure initiatives, mentor technical staff, and drive cross-functional operational improvements.
  • Soft Skills: Strong analytical, communication, and problem-solving skills with a focus on platform stability, scalability, and continuous