Data Scientist

Gilbane Building Company•Tampa, FL

1d•$120,000 - $160,000

About The Position

The Data Scientist is part of the centralized Data Science Team for Gilbane, which is responsible for data analysis, AI and ML use case development. The role involves answering business questions end-to-end by translating them into advanced analytic techniques, creating and presenting findings to business leaders with minimal supervision. The position requires a deep understanding of statistics, scientific research methodology, predictive models, and machine learning, with the ability to select and implement appropriate approaches. Regular interaction with non-technical stakeholders is expected for delivering analyses and answering questions. The role also includes coordinating with business partners as a consultant for needs analysis, data collection, prioritization, training, and support, as well as coordinating with technology partners on data mining and collection using various tools. Preparation and delivery of analysis and data visualizations are key, along with a desire to learn and apply new data science techniques to solve business problems of increasing scope and complexity. Experience with analytics consulting, delivering analytics to executives, data pipeline development, process automation, and model deployment is desired.

Requirements

Masters Degree in Statistics, Applied Math, Industrial or Research Psychology, Biostatistics, Computer Science/Information Systems or related field
5 + years practical experenience with data processing, programming and analytics
3+ years practical experience building statistical or machine learning models and communicating results to business leaders.
Or equivalent combination of education and experience
Business acumen and business problem solving skills
Extensive background in data mining and statistical analysis
Extensive experience with statistical software such as SAS, R, Python, SPSS, or other programs
Strategic thinking skills – seeing the big picture, clarifying strategic objectives, identifying relations, patterns and trends, thinking creatively, analyzing information, and prioritizing actions
Ability to understand various data structures and produce data visualizations
Excellent pattern recognition and predictive modeling skils
Applicants must be authorized to work in the United States without current or future sponsorship.

Nice To Haves

Experience with analytics consulting, delivering analytics to Executives / C-Suite stakeholders, data pipeline developement, process automation, model deployment etc. desired.

Responsibilities

Answer business questions fully “end to end” by translating business questions into ones answered with advanced analytic techniques (statistics, machine learning etc.); create and present documentation of findings back to business leaders with minimal supervision from Analytics Team.
Deep understanding of statistics, scientific research methodology, predictive models, and machine learning. Able to select and implement appropriate approach to various analytics problems.
Regularly interact with non technical stakeholders to deliver analyses and answer questions on deliverables.
Execute on various aspects of the data science strategy using inferential or predictive models.
Cooridinate with Business partners in a consultant capacity, undertaking needs analysis, data collection, prioritization, training and support.
Coordinate with technology partners on data mining and collection utilizing SQL, R, Python, Excel, Microstrategy, and other tools for analysis and presentation. Data cleaning, joining, restructuring, model development, process automation etc.
Preparation and delivery of analysis and data visualizations that meet the needs of the customers as defined in the needs analysis.
Desire to learn and apply new data science techniques in the service of solving business problems regularly increasing in scope and complexity.