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Volunteer Computer Data Scientist Jobs in Wisconsin

WI · On-site

$123.68 - $164.87/hr

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 ...

WI · On-site

$120 - $240/hr

EDUCATION & EXPERIENCE * "Bachelor's or higher level degree in computer science or a related field with 15+ years professional software development experience." * "5+ years of experience in data ...

New

WI · On-site

$140 - $190/hr

Develop robust data pipelines, data transformations, and data quality checks for ML models and ... Bachelor's degree in Computer Science, Statistics, Mathematics, or a related technical field, or ...

Showing results 21-40

Volunteer Computer Data Scientist information

What is the difference between Volunteer Computer Data Scientist vs Volunteer Data Analyst?

AspectVolunteer Computer Data ScientistVolunteer Data Analyst
Required CredentialsBasic programming skills, knowledge of data science toolsData analysis skills, proficiency in Excel, SQL
Work EnvironmentCollaborative projects, nonprofit or research settingsData interpretation, reporting in nonprofit or community projects
Employer & Industry UsageResearch institutions, nonprofits, tech startupsNonprofits, community organizations, small businesses

Volunteer Computer Data Scientists and Volunteer Data Analysts often share similar skills like data handling and analysis. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are vital in nonprofit and research settings, but data scientists usually require more technical expertise in programming and machine learning.

Can you get a volunteer computer data scientist job with no experience?

Volunteer computer data scientist roles often accept candidates with limited or no professional experience, especially if they have relevant skills such as programming, data analysis, or familiarity with tools like Python or R. Building a portfolio through personal projects, online courses, or certifications can improve chances of securing such volunteer positions. However, some roles may require basic understanding of data concepts or prior exposure to data science environments.

What are the most commonly searched types of Computer Data Scientist jobs in Wisconsin?

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

What cities in Wisconsin are hiring for Volunteer Computer Data Scientist jobs?

Cities in Wisconsin with the most Volunteer Computer Data Scientist job openings:

$123.68 - $164.87/hr

Other

Medical, Retirement, PTO

Posted 5 days ago


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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