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Meta Data Scientist Jobs in Wisconsin (NOW HIRING)

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WI · On-site

$180 - $260/hr

Fluency across the full marketing mix (Meta + Google, plus TikTok, email/SMS, marketplace, organic) -- you think in MER/CM/LTV/iROAS, not platform ROAS. * Real data science chops: SQL + Python ...

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Meta Data Scientist information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do meta data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for meta data scientist in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a Meta Data Scientist?

A Meta Data Scientist at Meta (formerly Facebook) uses data analysis, machine learning, and statistical techniques to drive business decisions and improve products. They work with large-scale datasets to extract insights, optimize algorithms, and enhance user experiences. Responsibilities often include A/B testing, predictive modeling, and collaborating with engineers and product teams. The role requires strong programming skills (Python, SQL, R), expertise in statistical analysis, and experience with data visualization. Typically, candidates have backgrounds in computer science, mathematics, or related fields.

What are some typical projects or challenges a Meta Data Scientist might encounter on the job?

As a Meta Data Scientist, you may work on projects ranging from large-scale data infrastructure optimization to advanced predictive modeling and experimentation. Challenges often include handling massive and complex datasets, ensuring data quality, and translating business needs into data-driven solutions. You'll likely collaborate closely with engineers, product managers, and other scientists to deliver impactful insights and scalable tools. This dynamic environment encourages creative problem-solving and offers opportunities for skill advancement and cross-functional learning. The role frequently involves balancing technical execution with clear communication to stakeholders.

What are the key skills and qualifications needed to thrive in the Meta Data Scientist position, and why are they important?

To thrive as a Meta Data Scientist, you need a strong background in statistics, machine learning, data analytics, and computer science, often supported by an advanced degree in a relevant field. Familiarity with programming languages like Python or R, cloud computing platforms, big data tools such as Spark or Hadoop, and certifications in data science or analytics are highly valuable. Strong collaborative, problem-solving, and communication skills help foster insights and share results effectively across multidisciplinary teams. These skills are essential for building scalable models, generating actionable data-driven insights, and effectively contributing to organizational innovation.

How much do meta data scientists make?

Meta Data Scientists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and education. Senior roles or those with specialized skills in machine learning and data engineering can earn higher compensation, often exceeding $180,000 per year.

How to get a data science job at Meta?

To get a data science job at Meta, candidates should have strong skills in statistics, programming (Python or R), and data analysis, along with experience in machine learning and data visualization. A relevant degree in a quantitative field and a solid portfolio of projects or prior work can improve chances. Familiarity with tools like SQL, Hadoop, or Spark and understanding of the company's products and data infrastructure are also beneficial.

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

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

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

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

What job categories do people searching Meta Data Scientist jobs in Wisconsin look for?

The top searched job categories for Meta Data Scientist jobs in Wisconsin are:

Meta Data Scientist jobs near you
Infographic showing various Meta 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 $123,886 per year, or $59.6 per hour.

Intern - Renewables Data Analytics

WEC Energy Group

Green Bay, WI • On-site, Remote

$23.10/hr

Full-time, Part-time, Internship

Posted 8 days ago

WEC Energy Group rating

8.1

Company rating: 8.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

We Energies and Wisconsin Public Service, subsidiaries of WEC Energy Group, is seeking a Renewables Data Analytics intern starting May/June 2027. This position can be located in Green Bay, Wisconsin or Milwaukee, Wisconsin locations. This position offers flexibility for a hybrid work arrangement (remote/in-office). The starting hourly rate for this position is $23.10 with paid company holidays. This internship is full-time during the Summer of 2027 with potential to work part-time during the fall.

About Us

WEC Energy Group is one of the nation's largest electric generation and distribution and natural gas delivery holding companies serving 4.7 million customers across the Midwest. We are committed to providing clean, reliable, and affordable energy in an environmentally sustainable manner. Customers are the heart of our business, and we work every day to help grow and support communities where we provide vital energy services.

As a Fortune 500 company, we value and develop our employees who are making a difference in a mission that matters. We don't just offer a job; we provide fulfilling careers where safety and well-being are paramount. Join our team and experience first-hand our commitment to your success. We offer competitive pay and benefits to recognize your hard work and dedication.

If you're talented, energetic and ready for a career with a future, we want you on our team. We are powered by a diverse and inclusive workforce fueled by the pride in what we do. If you're driven by the passion to change lives, this is the place for you.

Job Summary

The Renewables Analytics team is focused on enabling data-based decision making through clear metrics, monitoring, and robust data analytics for a large operating fleet of renewable energy projects. As an intern you will be involved in day-to-day support, business requirement gathering, data preparation, data analysis, data visualization and other activities including attending and participating in various meetings as part of the team.

Job Responsibilities

   Develop architecture & maintain databases of critical equipment meta data
   Manage data flows and data pipelines that feed real-time predictive models and other data tools
   Work closely with Renewables team, business & data analysts, and IT support groups to solve data access, architecture, and process needs
   Use available data to review the performance and reliability of wind / solar / battery storage assets
   Collaborate with Renewables team to design and deploy analytics and KPI reporting at a fleet level
   Perform ad hoc investigations of emergent equipment issues
   Manage the ETL process for transforming operational SCADA data into aggregated data repositories
   Empower subject matter experts with self-service access to raw and aggregated data
   Alternate between remote and office work as needed (hybrid setting) 
   Travel to generation sites in remote locations in WI, MI, MN, IA, IL, or IN

Minimum Qualifications

   High School Diploma, GED, or HSED 
   Current pursuit of a Bachelor's degree or higher in Data Science, Data Analytics, Computer Science, Engineering or related degree with a graduation date after June 2027
   Minimum GPA of 2.8 
   Valid Driver's License

Preferred Qualifications

   Experience writing code, programs, and/or algorithms 
   Experience with data mining, analysis, engineering, and/or visualization
   SQL (T-SQL, MySQL, Athena), VBA, API, Python/R, and Power BI
   DevOps and GitHub experience 
   Renewable energy technology, especially wind, solar, and energy storage experience
   Strong initiative, collaborative, prioritization, critical thinking skills and time management skills

End Date: 11/15/2026 

Pay Range Minimum:  $23.10

Pay Range Maximum:  $27.55

The pay range reflects the minimum and maximum for the position at the time of posting and may be modified in the future. The starting salary/pay within the pay range will be based on several factors, as applicable, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, shift, travel requirements, collective bargaining agreements, and business and organizational needs.  At WEC Energy Group, it is not typical for an individual to be hired at or near the top of the range for their role.

WEC Energy Group benefits

We reserve the right to modify the application deadline or discontinue accepting applications for any position if deemed necessary. Applications will be reviewed on a rolling basis, with interviews commencing after submission for qualified candidates. 
Learn more at Careers

WEC Energy Group will only employ those who are legally authorized to work in the United States. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

WEC Energy Group and its subsidiaries are Equal Opportunity Employers. As a result, all qualified applicants will receive equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected status. The Company also complies with all applicable federal, state and local laws that require it to take affirmative action.
 

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