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Associate Data Scientist Jobs in Wisconsin (NOW HIRING)

WI · On-site

$123.68 - $164.87/hr

Why This Role Is Valuable The Data Scientist at Revantage will develop and deploy machine learning models to optimize revenue management and pricing strategies, analyze large datasets to generate ...

New

Job Title Sr Data Scientist TITLE: Sr Data Scientist EMPLOYER: Fiserv Solutions, LLC LOCATION ... Current associates who require a workplace accommodation should refer to Fiserv's Disability ...

High school diploma / GED and 10 years of Data Sciences experience OR Associate's degree and 8 years of Data Sciences experience OR Bachelor's degree and 4 years of Data Sciences experience OR Master ...

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data ... Qualifications: - Education - Bachelor's in Computer Science, Information Systems, Engineering, or ...

Associate Data Engineer

Madison, WI · On-site

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data ... Qualifications: - Education - Bachelor's in Computer Science, Information Systems, Engineering, or ...

Analyst or Associate at a top‐tier strategy or boutique data science / analytical consulting firm Analyst running analytics for a high-growth startup or public sector agency, with unusual early ...

Analyst or Associate at a top‐tier strategy or boutique data science / analytical consulting firm Analyst running analytics for a high-growth startup or public sector agency, with unusual early ...

We have more than 6,400 employees and associates in our partner dental practices and operate ... The Director is responsible for advancing how Sun Life US uses data science, GenAI, and emerging AI ...

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Data analysis * Customer communication * Assist in training of staff * Internal communication about ... An Associate Scientist must also have a working knowledge of Microsoft Office and the ability to ...

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Showing results 1-20

Associate Data Scientist information

See Wisconsin salary details

$58K

$68.7K

$130.2K

How much do associate data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for associate data scientist in Wisconsin is $68,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $60,100.00 per year, depending on experience, location, and employer.

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 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 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 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 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 most commonly searched types of Data Scientist jobs in Wisconsin?

The most popular types of Data Scientist jobs in Wisconsin are:

What are popular job titles related to Associate Data Scientist jobs in Wisconsin?

For Associate Data Scientist jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Associate Data Scientist jobs?

Cities in Wisconsin with the most Associate Data Scientist job openings:

What are popular job titles related to Associate Data Scientist jobs in WI?

For Associate Data Scientist jobs in WI, the most frequently searched job titles are:

Infographic showing various Associate Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $68,675 per year, or $33 per hour.

$123.68 - $164.87/hr

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Medical, Retirement, PTO

Posted 3 days ago

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Job description

Who We Are

Revantage, a Blackstone Real Estate portfolio company, is a global provider of corporate services. With a corporate purpose of ‘In Pursuit of Better,’ Revantage delivers value-added services and world-class talent for Blackstone Real Estate portfolio companies, spanning diverse asset classes, including residential, logistics, office, hospitality and retail sectors. Headquartered in Chicago, the company’s footprint extends across North America, Europe and Asia Pacific. Rooted in a commitment to collaboration and inclusivity, Revantage goes beyond traditional corporate services and acts as a trusted partner. Across offerings that include finance, technology, human resources and operations, Revantage proactively anticipates stakeholder needs, recruits exceptional talent and enables its business partners to thrive.

What We Value: Our Culture

Our people are our most important asset, enabling Blackstone portfolio companies and investments to scale and thrive. Together, we foster a workplace where everyone can be themselves, enabling them to do their best work. At Revantage, we have exceptional people who live our values and help us pursue better every day. We offer dynamic and meaningful work, competitive compensation, benefits and flexibility. We listen and take action to ensure our organization evolves to reflect our employees’ voices and support an inclusive culture. Our demonstrated commitment to our people and collaborative culture have earned us numerous awards as a top employer. Our culture is built on our shared core values and commitment to be: Learners – We learn from our challenges and successes; Leaders – We commit to continuous improvement; Enthusiasts – We face challenges with optimism and believe anything is possible; Achievers – We expect high standards for ourselves and enable the success of our teams; Partners – We deliver value and positive impact to our partners.

Grow your career with us.

As a member of our team, you'll gain hands‑on experience in the real estate industry and benefit from a supportive environment that fosters personal and professional growth.

Why This Role Is Valuable

The Data Scientist at Revantage will develop and deploy machine learning models to optimize revenue management and pricing strategies, analyze large datasets to generate actionable business insights, and collaborate cross‑functionally to align data initiatives with company goals. This role directly impacts business operations for Blackstone Portfolio Companies by improving decision-making and operational efficiency through advanced analytics. It offers the chance to contribute to high‑visibility projects that drive measurable value across the organization.

How You Add Value
  • Build and deploy machine learning models to optimize revenue management and pricing strategies.
  • Analyze large datasets to develop models that can drive more informed and consistent business decision‑making.
  • Collaborate with peers outside the data science team to align data science initiatives with business goals.
  • Continuously evaluate and improve model performance through testing, tuning, and validation.
  • Document processes, methodologies, and findings for both technical and non‑technical audiences.
What You Bring To The Role

Required:

  • 3–6 years of professional experience in data science, machine learning, software engineering, or related fields, leveraging statistics and programming to drive business decisions.
  • Proven expertise in building machine learning models, including predictive and forecasting models, optimizing business operations and decision‑making.
  • Experience working in fast‑paced environments while producing rigorous, well‑documented work.
  • Demonstrated ability to work effectively within a team, producing and reviewing code written by peers.
  • Bachelor’s degree in relevant field, e.g., statistics, computer science, data science, etc.

Technical Skills:

  • Advanced proficiency in Python, including libraries such as scikit‑learn and statsmodels.
  • Strong expertise in SQL for data extraction and transformation.
  • Familiarity with GitLab/Azure Devops for collaborative development and version control.
  • Strong understanding of evaluation metrics and hyperparameter tuning for machine learning models.
  • Solid grounding in statistics for inference and analysis.
  • Familiarity with time series analysis, regression models, and econometric techniques.

Preferred:

  • Familiarity with revenue management theory and pricing strategies is a plus.
  • Experience in real estate finance or operations is a plus.
  • Advanced degree (master’s or Ph.D.) in a relevant field is a plus.
Base Compensation Range

$123,684.00 To $164,868.00 Annually. This represents the presently‑anticipated low and high end of the Company’s base compensation range for this position. Actual base compensation range may vary based on various factors, including but not limited to location and experience.

Total Direct Compensation

This job is also eligible for discretionary bonus and incentive compensation on an annual basis.

Benefits

The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO). The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

Perks for You

Competitive salary, overall compensation, and 401(k).

Work‑life balance offerings include:

  • Hybrid Work Policy
  • Productivity Hours – weekly meeting‑free work time
  • Summer Fridays
  • Work From Anywhere Month
  • In‑house and external learning & development opportunities
  • Generous health insurance and wellness benefits

Please review the Job Applicant Privacy Notice.

EEO Statement

Revantage is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email talent@revantage.com

Revantage, a Blackstone Real Estate portfolio company, is a global corporate services leader headquartered in Chicago. In Pursuit of Better, the company delivers value‑add services and best‑in‑class talent to Blackstone real estate portfolio companies and investments across asset classes including logistics, residential, office, hospitality and retail in North America, Europe, Asia, Australia and New Zealand. From Finance to Technology to Human Resources, Revantage anticipates service needs, hires exceptional talent and enables its business partners to thrive, while fostering a fun and inclusive culture for its team members.

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