Data Scientist
- Work model:
- Hybrid
- Location:
- Green Bay, WI, USA
- Shift:
- First shift
- Schedule:
- Full time; Mon-Fri 1st Shift
Job overview:
Schneider is seeking a Data Scientist in Green Bay WI to design, build, maintain and improve new and existing analytics solutions. The Data Scientist will focus on developing practical solutions to help customers meet their objectives.
Responsibilities:
- Prepare proposals, non-technical reports, statements of work, project logs and presentations.
- Identify data sources and prepare data.
- Collaborate with more senior data scientists and engineers.
- Document and implement analytical models to deliver actionable business insights and decision support.
- Create statistics models and technical approaches for business issues.
Skills and qualifications:
- Master degree or PhD in data science, computer science, information systems, mathematics or related field.
- Two to four years of relevant work experience.
- Able to build effective business relationships with customers and other associates.
- Knowledge of statistics modeling, solution techniques and tools.
- Able to understand the uses and limitations of statistical methodologies such as time-series forecasting, logistic regression, random forests, k-means clustering, Bayesian methods and machine learning.
- Able to learn and utilize statistical programming languages and tools such as R, SAS, Python SQL, SPSS and Tableau.
- Able to effectively communicate technical information and concepts to non-technical audiences.
Pay and benefits:
- Medical, dental and vision insurance.
- Company paid life insurance.
- 401(k) savings plan with company match.
- Paid time off and paid holidays.
- Results-based incentive pay program where you can earn above and beyond your base pay.
- Tuition reimbursement.
- See full list of information technology benefits.
Schneider’s inclusive culture
Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization’s success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.
Job ID: 250068