Senior Data Scientist

Job Summary

In order to make an application, simply read through the following job description and make sure to attach relevant documents.

Applies highly complex statistical techniques to help solve problems. Provides insights and actionable recommendations to the business.

Utilizes highly complex statistical modeling to make predictions about future outcomes and in multiple scenarios. Explains findings to business audience.

Job Responsibilities

• Responsible for applying highly complex advanced data analysis tools and techniques to provide insights and actionable recommendations for the business.
• Utilizes highly complex statistical modeling to make predictions about future outcomes and in multiple scenarios.
• Interprets and applies data in highly complex analyses, and explains findings to business audiences to improve products and processes.
• Executes multiple and or highly complex statistical and mathematical analyses to support business decision making for multiple business functions.
• Develops and or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.
• Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
• Develops materials to explain project findings.
• Typically assigned to important or complicated undertakings.
• Anticipates and prevents problems and roadblocks before they occur.
• Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
• Mentors less experienced members of the team. Provides guidance regarding analytical approach and iteration of algorithms.

Basic Qualifications

• PhD degree in statistics, data science, mathematics, OR economics and at least 1 year of post-graduate professional work experience in a statistical function OR PhD degree in a quantitative, computational or technical discipline AND at least 1 year of post graduate professional work experience in a statistical function.
• Experience utilizing statistics, calculus, and linear algebra to develop complex models and analyses.
• Experience developing new solutions to problems.
• Advanced knowledge of SQL.
• Advanced knowledge of open source statistics packages such as Python, R, Spark, etc.
• Experience determining appropriate software packages to design and develop new techniques and models.
• Experience interrogating data, performing analyses, interpreting data, and presenting findings to business audiences.
• Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.
• Experience presenting to non-statistical audiences.
• At least 2 years of experience contributing to financial decisions in the workplace.
• At least 2 years of direct leadership, indirect leadership and / or cross-functional team leadership.
• Willing to travel up to or at least 10% of the time for business purposes (within state and out of state).

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