Vacancy expired!
Your success is a train ride away.
Amtrak connects businesses and communities across the country and we move America's workforce toward the future. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority and the success of our railroad is the result of our employees. Are you ready to join our team?SUMMARY OF DUTIES: The Principal Data Scientist works closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the data the business needs, and help analyze the data and share insights with peers. The Principal Data Scientist is responsible for building standard practices and operating principles to develop a data science practice that rely on repeatable processes that employ standard tooling and structured analysis to achieve business results. The Principal Data Scientist will also engage with process and data experts throughout Amtrak including Operations Research, Subject Matter Experts, Statisticians and Data Analysts to ensure a unified approach to problem solving.ESSENTIAL FUNCTIONS:- Formulates and leads guided, multifaceted analytic studies against large volumes of data.
- Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.
- Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
- Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
- Leads all data experiments.
- Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
- Develops methodology and processes for prioritization and scheduling of projects.
- Analyzes problems and determines root causes.
- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
- Adheres to quality standards and procedures.
- Reviews modules for quality assurance and checks compliance with application architecture standards and Service Level Agreements.
- Defines development guidelines and standards to be utilized in software development/integration.
- Proficient with one or more programming languages (Java, C, Python, R, etc.)
- Demonstrated experience applying data science methods to real-world data problems.
- Experience utilizing visualization tools to take advantage of the growing volume of available information
- MS in Data Science, or related field, with 7+ years of relevant work experience or 11 years of relevant work experience.
- Advanced analytical knowledge of data
- Conducting big data analysis
- Data conditioning
- Programming advanced computing
- Developing algorithms
- Developing software and data models
- Executing predictive analytics
- PhD in Data Science with 2+ years of experience
- Must have excellent oral and written communication skills.
Vacancy expired!