Data Scientist I

fulltime
Expired

Employment Information

The position you were interested in has been filled or expired, but we invite you to explore other exciting job openings on our platform to find your next career opportunity.

Who Are We?

The Toro Company is a homegrown, Minnesota-based company that has been in business since 1914. We pride ourselves on providing world class equipment to help maintain the environment that we love, while putting an emphasis on giving back to the communities that surround us. From residential lawns and gardens, to venues such as St. Andrews Links and Target Field, we are a company with a global footprint and a passion for helping people beautify whatever landscape they may be in. With 100 years of operation under our belt and an average employee tenure of 15 years, come find out what makes The Toro Company the best place in the Twin Cities to build a career.

What Will You Do?

In order to grow and build a successful career with The Toro Company, you will be responsible for: 

  • Develop and implement machine learning models for predictive purposes.
  • Validate and improve models for roll-out and analyze the performance of existing models.
  • Assess and implement the usefulness of new data sources, transformations, and modeling techniques.
  • Mine large datasets in multiple databases to draw patterns and inferences to build models and support leaders with information that will help make business decisions.
  • Support end-users/ citizen scientists to design strategies based on newly developed machine learning models.
  • Conduct advanced analysis and identify business opportunities.
  • Test, evaluate, and deploy new models and features to achieve better outcomes for key metrics.
  • Work collaboratively with other team members, data engineering team, and business stakeholders to craft solutions with a holistic view of the problem.
  • Use unsupervised and supervised learning models to detect anomalies and patterns.
  • Present work to all levels of the organization including senior leadership. Translate data and models into compelling stories.

Note: The responsibilities and tasks outlined in this document are not exhaustive and may change as determined by the needs of the company.

What Do You Need?

  • To be considered for this role, an individual should meet the following minimal requirements: 
  • Bachelor’s degree in data science, Information Science, Machine Learning, Statistics, Computer Science, Data Mining, Applied Mathematics, Engineering, or other technology/quantitative program.
  • Must be proficient in one/or more of the following: Python, R, Spark, Scala, SQL, or other analytical/statistical programming environment.
  • Understanding of supervised and unsupervised model building techniques, such as: neural networks, extreme gradient boosting (XGBoost), support vector machines (SVM), gradient boosted models (GBM), and random forest

​Preferred Qualifications -

  • Graduate degree (MS/PhD) in Data Science, Machine Learning, Statistics, Computer Science, Data Mining, Applied Mathematics or other quantitative program.
  • Strong analytical skills to extract, manipulate, analyze, and interpret trends or patterns in complex and diverse datasets like, customer data, product data, IOT data
  • Experience in advanced analytics/statistics, predictive modeling, machine learning and data visualization
  • Proficient in Python/R, Spark, SQL, and ML Ops
  • Experience with A/B testing
  • Hands on experience with information retrieval from high dimensional data, dimensionality reduction and feature extraction.
  • Demonstrated ability to work independently and collaboratively as a team.

What Can We Give You?   

At The Toro Company, we are always working to make sure our employees know just how valued they are. In addition to a competitive salary, an affordable and top tier medical/dental/vision plan, 401k, and many other great benefits - The Toro company offers employees at ourBloomington, MN HQlocation a variety of perks, including: 

Dress for your day - We know you're more productive when you're comfortable, which is why TTC employees are encouraged to take advantage of our casual, corporate environment. 

Location – Conveniently located near both St. Paul and Minneapolis, we are centrally located for most commuters! 

Food - Take advantage of our onsite café, which serves both breakfast and lunch. With a Caribou Coffee attached, you can grab a snack and a coffee at any time during your day. 

Wellness - The Toro Company’s HQ offers complimentary use of our onsite fitness facility to employees. In addition to physical wellbeing, TTC offers a variety of mental health and financial health resources to all employees.

Volunteerism - The Toro Company is proud to provide employees 20 hours of paid time to volunteer in the community. 

Summer Hours – Enjoy a flexible schedule during the summer! By working a little more during the first few days of the week, TTC employees at our Bloomington HQ are able to start their weekends early and leave by noon on Friday. 

Flexible Work Arrangements – This team is currently implementing a hybrid work schedule. The opportunity to collaborate in the office and work from home part-time, has promoted team-building and flexibility.

Competitive Salary – The pay range takes into account skills, experience, education, and location. It is not common to be hired at or near the top of the range; compensation decisions are dependent on the facts and circumstances of each case. Cash compensation is one piece of our competitive total rewards package. If you need to, you can access your pay early with the One@Work app, formerly the Even app.

We are proud to be an Equal Opportunity Employer and consider qualified applicants without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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