Schneider National is a provider of truckload, intermodal and logistics services.
Do you love being a part of developing business operations and practices, and applying specific methods, models, and analysis to create something amazing? At Schneider we are looking for a Data Scientist to help design, build, and maintain next generation analytics solutions. The focus of this position is in developing practical solutions that help our customers meet their objectives. With a knowledge of statistics modeling, solution techniques and tools, you'll be able to grow your technical skills while working on impactful and challenging analytics problems. If this sounds exciting to you, review the information below and apply today.
This Position is 100% Remote,
About the role:
- Create proposals, statements of work, project logs and updates, and presentations in a clear and concise manner. Document project assumptions and approach track savings
- Identify data sources and prepare data (merging data from different sources, cleansing, manipulation, etc.)
- Collaborate with Senior Data Scientists and engineers to decide on approach and design
- Independently document and implement analytical models to deliver actionable business insights and decision support
- Prepare and deliver written non-technical reports and presentations to managers indicating solution or range of possible alternatives, solution pros and cons, and technical suggestions
- Maintain consistent attendance while exhibiting behavior in alignment with our core values
Ideal candidate must have:
- Master Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field, plus two years of meaningful experience
- (C1) Advance EnglishCommunication skills
- (+2 years of experience) Ability to understand the uses and limitations of statistical methodologies such as time-series forecasting, regression analysis, random forests, k-means clustering and Bayesian methods, machine learning, and the ability to select the appropriate methodology to complete assignments
- (+2 years of experience) Ability to learn and utilize statistical programming languages and tools such as R, SAS, Python SQL, SPSS, and Tableau
- Ability to effectively communicate technical information and concepts to non-technical audiences
This recruitment is 100% free of bias,, all decisions are based on your experience and knowledge, you are the most important person for us and we will accompany you at all times.
