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Entry Level Meta Data Scientist Jobs in Madison, WI

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... sciences companies. From fulfilling a single patient's request for their medical records to ...

Health Information Specialist

Madison, WI · On-site

$100K - $100K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... sciences companies. From fulfilling a single patient's request for their medical records to ...

The Stoughton Fire Department is looking for energetic individuals to fill entry-level volunteer ... Vocational or technical training in fire science or a related field is preferred. Must reside or ...

Showing results 21-40

Entry Level Meta Data Scientist information

See Madison, WI salary details

$46.4K

$166.3K

$245.4K

How much do entry level meta data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for entry level meta data scientist in Madison, WI is $166,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $171,300.00 per year, depending on experience, location, and employer.

Does Entry Level Meta Data Scientist have entry-level positions?

Entry Level Meta Data Scientist positions are typically available and designed for candidates with limited professional experience. These roles often require foundational skills in data analysis, programming, and familiarity with tools like SQL or Python, making them suitable for recent graduates or those transitioning into data science. Companies often offer training or mentorship programs for entry-level data scientists to develop their skills further.

How much does an entry-level Meta Data Scientist make?

An entry-level Meta Data Scientist typically earns between $70,000 and $90,000 annually, depending on location, education, and skills. Starting salaries may increase with proficiency in data analysis tools like SQL, Python, and machine learning frameworks.

What is the difference between Entry Level Meta Data Scientist vs Entry Level Data Analyst?

AspectEntry Level Meta Data ScientistEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with machine learning and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentTech companies, e-commerce, social media platforms, often collaborative and project-basedBusiness, finance, healthcare sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech-driven industries focusing on data modeling and machine learningCommon across various industries for data reporting and insights

Entry Level Meta Data Scientists focus on developing machine learning models and working with large datasets, often in tech environments. Entry Level Data Analysts primarily interpret data, create reports, and support decision-making. Both roles require strong analytical skills but differ in technical complexity and focus areas.

How to get into Entry Level Meta Data Scientist as a data scientist?

To become an entry-level data scientist, including roles focused on metadata analysis, candidates should develop strong skills in programming languages like Python or R, understand data management and database systems, and gain experience with data cleaning and visualization tools. A bachelor's degree in a related field such as computer science, statistics, or data science is typically required, and internships or projects can help demonstrate practical experience. Familiarity with machine learning concepts and data modeling can also improve job prospects.
What are the most commonly searched types of Meta Data Scientist jobs in Madison, WI? The most popular types of Meta Data Scientist jobs in Madison, WI are:
What job categories do people searching Entry Level Meta Data Scientist jobs in Madison, WI look for? The top searched job categories for Entry Level Meta Data Scientist jobs in Madison, WI are:
What cities near Madison, WI are hiring for Entry Level Meta Data Scientist jobs? Cities near Madison, WI with the most Entry Level Meta Data Scientist job openings:
Infographic showing various Entry Level Meta Data Scientist job openings in Madison, WI as of June 2026, with employment types broken down into 19% As Needed, 53% Full Time, 22% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $166,277 per year, or $79.9 per hour.

Business Analyst, Finance Systems

Arrowhead Pharmaceuticals

Madison, WI • On-site

$68K - $75K/yr

Full-time

Re-posted 22 days ago


Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.
Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.
Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.
The Position
Serving as an entry-level liaison between Finance, Accounting, Revenue, and Procurement stakeholders and cross-functional technical teams, this position supports efforts to ensure that financial systems remain scalable, operationally efficient, and compliant with internal controls and regulatory requirements. Core process areas include Procure-to-Pay (P2P), Order-to-Cash (O2C), and Financial Close and Reporting workflows.
This role is based onsite 5 days a week from one of Arrowhead's office locations.
Responsibilities
  • Provide day-to-day functional support to Finance, Accounting, and Procurement stakeholders, ensuring timely issue resolution and continuity of critical financial operations, under the direction of the Senior Finance Solution Architect.
  • Assist in identifying and documenting process automation and digital transformation opportunities in collaboration with Finance business stakeholders and senior team members.
  • Support the development of reports, dashboards, and automation solutions using the Microsoft Power Platform (Power BI, Power Apps, Power Automate) and Microsoft Fabric enterprise data lake house, guided by the Principal Data Architect.
  • Administer identity and access governance within Dynamics 365, including user role management, license assignment, and periodic access reviews in alignment with internal controls.
  • Develop and maintain end-user training materials and system documentation to support adoption of finance-related platforms and tools.
  • Assist with intake, triage, and backlog management for Finance and Procurement system/service requests, ensuring prioritization aligns with business objectives and senior team guidance.
  • Participate actively in Agile project delivery, contributing to sprint planning, stakeholder engagement, and on-time delivery of system enhancements under the leadership of senior team members.
  • Stay current on emerging technologies and applied AI capabilities relevant to enterprise finance operations and share relevant learnings with the broader team.

Requirements
  • Bachelor's degree in Finance, Accounting, Business Administration, Information Systems, or related discipline.
  • 0 - 2 years of experience supporting enterprise ERP platforms.
  • Foundational experience or academic background in core Finance, Procure-to-Pay (P2P), and Order-to-Cash (O2C) business processes.
  • Strong analytical, written, and verbal communication skills, with an eagerness to translate business requirements into well-documented specifications for senior architects and technical teams.
  • Demonstrated ability to manage competing priorities, learn quickly in a fast-paced environment, and collaborate effectively within cross-functional teams.

Preferred
  • Exposure to regulated industry environments, including GxP or SOX compliance frameworks in Life Sciences.
  • Exposure to Microsoft Dynamics 365 Finance & Operations (F&O).
  • Basic to working knowledge of Microsoft Power Platform tools (Power BI, Power Apps, Power Automate) or similar tools, hands-on coursework experience.
  • Familiarity with Microsoft Data Platform technologies, including Microsoft Fabric, Azure Synapse Link, and MS SQL Server.
  • Exposure to regulated industry environments, including GxP or SOX compliance frameworks in Life Sciences.

Wisconsin pay range
$60,000-$68,000 USD
California pay range
$68,000-$75,000 USD
Arrowhead provides competitive salaries and an excellent benefit package.
Candidates must have current, valid authorization to work in the country where this role is located.
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