Remote (EST) Opportunity - Two Month Engagement
4+ years of technical experience working across data analytics, data science, and/or applied statistics domains. Experience with industry standard tools such as data scripting languages (python / R), predictive analytics / Client / AI techniques and tools, and cloud data platforms. Client or internal stakeholder facing experience solving analytics use cases and implementing solutions. Data Scientist Job Responsibilities: - Formulates and guides, 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 tasked by the Data Science Team.
- Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Client Analysts.
- Develops methodology and processes for prioritization and scheduling of projects.
- Analyzes problems and determines root causes.
- Defines company data assets (data models) to populate data models.
- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Data Scientist Qualifications / Skills:
- Advanced analytical knowledge of data
- Conducting big data analysis
- Data conditioning
- Programming advanced computing
- Developing algorithms
- Developing software and data models
- Executing predictive analytics
Education, Experience, and Licensing Requirements:
- Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields
- 4+ years of professional experience
- Proficient with Python and other programming languages (Java, C++, 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