Data Scientist

Who you are

• Master’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience in the job offered or a related occupation
• Employer will accept a Bachelor’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master’s degree and one year of experience
• Must have one year of experience in the following skill(s): (1) building statistical models and machine learning models using large datasets from multiple resources; (2) writing SQL scripts for analysis and data migration; and (3) applying specialized modelling software including R, Python, or MATLAB

What the job involves

• Design and implement scalable and reliable approaches to support or automate decision making throughout the business
• Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear
• Acquire data by building the necessary SQL / ETL queries
• Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems
• Build relationships with stakeholders and counterparts
• Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies
• Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks
• Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators
• Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production
• 40 hours / week, 8:00am-5:00pm
• Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies
• Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position
• These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation