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Synthetic Data Generation Jobs in Wisconsin (NOW HIRING)

WI · On-site

$140 - $210/hr

Build scalable solutions for synthetic data generation and masking.* Develop replay frameworks for validating pipeline changes against production scenarios.* Create automated regression testing ...

WI · On-site

$130.40 - $195.60/hr

Experience building infrastructure for training data generation, synthetic data, simulation environments, evaluation harnesses, reinforcement learning, or agentic workflows.* Familiarity with 3D data ...

... generation in agentic products * Build evaluation frameworks to measure retrieval quality and ... Apply relevant causal inference techniques (e.g. synthetic controls, difference-in-difference) to ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... synthesis, and separation techniques. * Document laboratory methodologies, data, and findings ...

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... synthesis, and separation techniques. * Document laboratory methodologies, data, and findings ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through structure determination from spectral data, multi-step synthesis planning ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through structure determination from spectral data, multi-step synthesis planning ...

Claude Tutor

Madison, WI · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... synthesis, code review, writing feedback, and data interpretation. Emphasizes critical thinking ...

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Synthetic Data Generation information

What are the key skills and qualifications needed to thrive in synthetic data generation?

To excel in a Synthetic Data Generation role, you need a solid background in computer science, statistics, and data science, often supported by a relevant degree and experience in machine learning. Familiarity with tools such as Python, TensorFlow, PyTorch, and synthetic data generation platforms, as well as knowledge of privacy-preserving techniques, is typically required. Strong problem-solving abilities, creativity, and effective communication set top performers apart in this field. These skills and qualities are crucial for creating high-quality, realistic synthetic datasets that support robust AI model development while safeguarding sensitive information.

What is synthetic data generation?

Synthetic data generation is the process of creating artificial datasets that mimic real-world data. This technique is used to supplement or replace actual data for purposes such as machine learning, software testing, and research, especially when real data is scarce, sensitive, or costly to obtain. Synthetic data can help improve model accuracy, protect privacy, and enable innovation by providing diverse and unbiased datasets. It is commonly used in fields like healthcare, finance, and autonomous vehicles.

What is the difference between Synthetic Data Generation vs Data Analyst?

AspectSynthetic Data GenerationData Analyst
Required CredentialsKnowledge of data science, programming, and data privacyDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, analytics teams, consulting firms
Industry UsageAI development, machine learning, data privacyBusiness insights, reporting, decision-making
Search & Comparison IntentUnderstanding data generation techniques, privacy solutionsAnalyzing data, generating reports, insights

While Synthetic Data Generation focuses on creating artificial data for privacy and model training, Data Analysts interpret existing data to provide business insights. Both roles require data-related skills but serve different purposes within the data ecosystem.

What are the main challenges faced by professionals working in synthetic data generation, and how can they be addressed?

Professionals in synthetic data generation often encounter challenges such as ensuring the generated data accurately represents real-world scenarios while maintaining privacy and data security. Balancing realism with anonymization is crucial, especially when synthetic data is used for AI model training or testing. Collaboration with data scientists, domain experts, and privacy officers is common to validate data utility and compliance with regulations. Staying current with advances in generative models and data validation techniques also helps address these challenges and contributes to career growth in this rapidly evolving field.

What are popular job titles related to Synthetic Data Generation jobs in Wisconsin?

For Synthetic Data Generation jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Synthetic Data Generation jobs in Wisconsin look for?

The top searched job categories for Synthetic Data Generation jobs in Wisconsin are:

What cities in Wisconsin are hiring for Synthetic Data Generation jobs?

Cities in Wisconsin with the most Synthetic Data Generation job openings:

Manager, Test Data Engineering Team

Live Nation, Inc

WI • On-site

$140 - $210/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Live Nation rating

7.1

Company rating: 7.1 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

12th of 52 rated entertainment


Job description

## Manager, Test Data Engineering TeamApplylocations: Work From Home - Georgia: Work From Home - Texas: Work From Home - Louisiana: Work From Home - Florida: Work From Home - Pennsylvaniatime type: Full timeposted on: Posted Todayjob requisition id: JR-89226Job Summary:**WHO ARE WE?**Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 620 million tickets sold annually and approximately 10,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 50,000 events annually for nearly 7,000 artists in 40+ countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect more than 1,200 sponsors with the 145 million fans that attend Live Nation Entertainment events each year. For additional information, visit www.livenationentertainment.com.**WHO ARE YOU?**Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on!You embody our core values of Keep it Simple, Be Inquisitive, Win Together, and Own It. You are passionate and motivated. Driven, happy to deal with and remove ambiguity, and have a strong entrepreneurial spirit. Versatile, autonomous high performer in multiple disciplines, and specifically in augmenting each discipline with an AI practice. You are skilled at building consensus, making data-driven decisions, and delivering world-class development experiences, especially when AI serves as a force multiplier. You persuasively advocate for an idea while always staying open-minded and rigorously prioritizing. You have a bias towards action. Most of all, you love to dig in and build amazing things with your team, always pushing the envelope.**THE ROLE**Live Nation Core Data Services is seeking a Test Data Engineering Manager to lead and evolve a team of primarily QA-background engineers into a high-performing, engineering-driven function. This role focuses on building scalable, automated data testing solutions, including synthetic data generation, test harnesses, and regression frameworks integrated into deployment pipelines.The manager will partner with internal stakeholders to define data validation requirements and establish reusable testing frameworks across the organization. This is a globally distributed team spanning the US, UK, and offshore, requiring strong cross-time-zone collaboration.This is a high-impact role within an entrepreneurial team backed by the scale and reach of a global live entertainment leader. The role leads the transformation of data quality into a scalable, engineering-driven capability by building and managing a team focused on automated validation frameworks, test data engineering, and data observability within a Databricks-based platform.The position requires driving research-led, iterative validation using TDD (Test Driven Development) practices, while managing multiple roadmaps and shared-service backlogs supporting diverse engineering teams. Highly visible, this role operates across North America, Europe, and Asia, partnering with cross-functional stakeholders to deliver reliable, scalable data solutions.**Key Responsibilities**Data Quality Platform Engineering* Design and build reusable data quality frameworks integrated into Databricks pipelines.* Develop standardized validation libraries (schema checks, freshness, volume, anomaly detection)* Define and enforce data quality standards and “Definition of Done” across pipelines.Test Data Engineering* Build scalable solutions for synthetic data generation and masking.* Develop replay frameworks for validating pipeline changes against production scenarios.* Create automated regression testing harnesses for batch and streaming pipelines.Data Observability & Reliability* Establish monitoring, alerting, and SLA/SLO frameworks for data pipelines.* Build tools to measure and track data quality, pipeline health, and reliability metrics.* Enable proactive detection of data issues in production environments.Team Leadership & Collaboration* Lead and grow a team of data quality engineers and test data engineers.* Partner with Data Engineering, Product, and Analytics teams to embed quality practices.* Drive adoption of frameworks and standards across global engineering pods.Strategy & Execution* Define and execute a long-term roadmap for enterprise data quality.* Prioritize initiatives across multiple stakeholders and global teams.* Eliminate manual validation processes through automation and engineering best practices.**WHAT THIS PERSON WILL BRING*** 5+ years in Data Engineering, Test Data Engineering, or related fields.* 2+ years in a technical leadership or management role.* Strong experience with Databricks, Spark, distributed data systems, Python and SQL.* Experience building automated validation or data quality frameworks.* Hands-on with data observability or validation tools (e.g., Great Expectations, Deequ, Soda).* Familiarity with streaming architectures and real-time validation.* AI orchestration experience a huge plus; ability to automate test data practices such as synthetic data generation, data profiling, and pipeline regression testing.* Solid understanding of anomaly detection and large-scale data validation patterns (e.g., hash/Merkle-based validation), and/or major TDM tools for data profiling and sampling.* Comfortable juggling multiple concurrent projects and setting priorities.* Experience with JIRA / agile user story and acceptance criteria writing.* Willingness to work with cross-functional teams across time-zones and odd hours as necessary.* Excellent analytical skills required, experience with user behavior data will be a leg up.* Track record of success launching test data solutions or BI validation applications.* Versatile, hands-on mindset with a bias for execution.* Passion for live music and events is a plus.* Optimism with drive, drive, drive.**What Success Looks Like*** Data quality checks embedded in all critical pipelines.* Reduced time to detect and resolve data issues.* Elimination of manual QA validation processes.* Scalable frameworks adopted across global engineering teams.**BENEFITS & PERKS**Our motto is ‘Taking Care of Our Own’ through 6 pillars of benefits:* **HEALTH****:** Medical, vision, dental and mental health benefits for you and your family, with access to a health care concierge, and Flexible or Health Savings Accounts (FSA or HSA)* **YOURSELF****:** Free concert tickets, generous paid time off including paid holidays, sick time, and personal days* **WEALTH****:** 401(k) program with company match, stock reimbursement program* **FAMILY****:** New parent programs including caregiver leave and baby bonuses, plus fertility, adoption, foster, or surrogacy support* **CAREER****:** Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment* **OTHERS****:** Volunteer time off, crowdfunding match**EQUAL EMPLOYMENT OPPORTUNITY**We aspire to build teams that reflect and support the fans and artists we serve. Every day we aim to promote environments where everyone can be themselves, contribute fully, and thrive within our company and at our events. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with.Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, intersectionality, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation.We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas.We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process. Live Nation will also provide reasonable religious accommodations on a case-by-case basis.**HIRING PRACTICES** The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms.#LI-SM1#LI-EF1#LI-RW3#LI-RemoteUnitedStatesLive Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains. #J-18808-Ljbffr

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