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Data Scientist II

Job in Waukesha, Waukesha County, Wisconsin, 53188, USA
Listing for: Dormont Manufacturing Co
Full Time position
Listed on 2026-07-04
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 85000 - 110000 USD Yearly USD 85000.00 110000.00 YEAR
Job Description & How to Apply Below

We are Generac, a leading energy technology company committed to powering a smarter world.

Over the 60 plus years of Generac’s history, we’ve been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries.

As a senior member of the team, you will have significant responsibility and influence in shaping its future direction. We are looking for someone that leads data science projects from start to finish, defining the problem, identifying opportunities, building proofs of concept and implementing them as a data product.

You should have deep expertise in data science, machine learning and statistical analysis, and the ability to scope out project requirements, time estimates, and resources needed. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build highly scalable systems.

Successful candidates will have strong engineering skills and communication, as well as a belief that data‑driven processes lead to great products. You will need to have a passion for quality and an ability to understand complex systems.

  • Lead data science projects from start to finish, defining the problem, identifying opportunities, building proofs of concept and implementing them as a data product.
  • Interact with different teams (Product, Data Platform, Frontend, etc.) to reach common ground and strive for win‑win scenarios.
  • Keep updated with the state‑of‑the‑art algorithms and techniques in the field and evaluate them in our business context.
  • Tell engaging data stories for both technical and non‑technical audiences.
  • Transform business problems and opportunities into data product solutions.
  • Act as a mentor to junior data scientists.
  • Review pull requests from fellow team members.
  • Evaluate project ideas and provide technology input, prescribing appropriate application solutions that balance business requirements with Generac’s technology standards to arrive at the optimal solution.
  • Write user and technical specifications in line with business needs.
Basic Qualifications
  • Bachelor’s Degree in Computer Science, Math, Physics, Engineering, Statistics or related field.
  • 2+ years of experience post‑grad in a Data Science / Machine Learning position.
  • Professional experience with Python.
  • Experience with SQL.
  • Experience with version control (Git Hub or similar) in a team environment.
  • Demonstrated experience applying machine learning and data mining techniques.
Preferred Qualifications
  • Master’s and/or PhD are a strong plus.
  • Experience in agentic AI across organization.
  • Experience in cloud environments (AWS / Azure) are a strong plus.
Knowledge, Skills, and Abilities
  • Strong communication skills and commitment to teamwork.
  • Sharp analytical abilities and proven design skills.
  • Strong sense of ownership, urgency, and drive.
  • Proven leadership abilities in an engineering environment in driving operational excellence and best practices.
Physical Demands

While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25–50 pounds. Specific conditions of this job are typical of frequent and continuous computer‑based work requiring periods of sitting, close vision and the ability to adjust focus.

Occasional travel.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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