Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Generac Power Systems Director Data Science in Waukesha, Wisconsin

Director Data Science

Company Generac Power Systems

Name Director Data Science

Req # 64660

Employment Type Full Time

Shift 1st

As the Director of Data Science at Generac, you will be tasked with creating and executing the data science strategy. Your responsibilities will include leading the charge in data analytics innovation, providing valuable insights that align with business objectives, and utilizing your expertise in data science, statistics, and operations research to redefine AI-led measurement, monitoring, and predictions at the company. Additionally, you will have the opportunity to mentor and lead junior data scientists and analysts.

MAJOR RESPONSIBILITIES:

  • Lead the development and implementation of advanced analytics models and machine learning algorithms to address business challenges and uncover new opportunities.

  • Collaborate with cross-functional teams, including business stakeholders, product managers, and engineers, to define analytical requirements and implement scalable solutions.

  • Conduct thorough data analysis and validation to ensure the accuracy and reliability of your models.

  • Present complex findings and recommendations to both technical and non-technical audiences, translating data-driven insights into actionable business strategies.

  • Stay abreast of industry trends and advancements in data science and machine learning, continuously exploring new tools and technologies to enhance our analytical capabilities.

  • Mentor junior data scientists and analysts, fostering a culture of innovation and continuous learning within the team.

Education:

  • Bachelor’s degree (or equivalent knowledge) in Engineering/Math/Sciences or related field

Work Experience:

  • Requires 7 years’ experience in Data/Analytics including 5 year’s management experience.

  • Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data.

Knowledge / Skills / Abilities:

  • Comfortable in a client-facing role with experience leading teams.

  • Likes to distill complex results or processes into simple, clear visualizations.

  • Ability to explain sophisticated data science concepts in an understandable manner.

  • Passion for building things

  • Comfortable working with modern development tools and writing code collaboratively.

  • Advance knowledge of modern machine learning techniques and their mathematical underpinnings and ability to translate this into business implications for our clients.

  • Strong project management skills.

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

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