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.
• nalyzes 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:

• dvanced 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