Data Scientist

Gilbane Building; Columbus (OH); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive benefits

Profit-sharing/401k

Job summary

Gilbane Building is seeking a Data Scientist as part of its centralized Data Science Team to drive data analysis, AI and ML use case development for the organization.

The role involves translating business questions into analytical solutions, applying advanced statistics and ML techniques, and presenting findings to executives. Collaboration with business partners and technology teams is essential, with a focus on scalable data pipelines and impactful insights.

Qualifications

• Masters degree required or equivalent combination of education and experience.
• 5+ years practical experience with data processing, programming and analytics.
• 3+ years practical experience building statistical or machine learning models and communicating results to business leaders.

Responsibilities

• Answer business questions end to end by translating queries into analyses using statistics, ML, etc., and present findings to business leaders.
• Understand statistics, research methodology, predictive models and ML to select appropriate approaches.
• Interact with non-technical stakeholders to deliver analyses and explain deliverables.
• Execute data science strategies using inferential or predictive models.
• Coordinate with Business partners on needs analysis, data collection, prioritization, training and support.
• Collaborate with technology partners on data mining and collection using SQL, R, Python, Excel, MicroStrategy and other tools.
• Prepare and deliver analyses and data visualizations meeting customer needs.
• Learn and apply new data science techniques to solve business problems.
• Experience with analytics consulting, delivering analytics to Executives, data pipelines, automation and deployment is desirable.

Education

Masters Degree in Statistics, Applied Math, Industrial or Research Psychology, Biostatistics, Computer Science/Information Systems or related field

Tools

SQL

R

Python

Excel

MicroStrategy

Job description

Overview

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.

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

Experience/Education

Qualifications

• Masters Degree in Statistics, Applied Math, Industrial or Research Psychology, Biostatistics, Computer Science/Information Systems or related field
• 5 + years practical experience 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

Knowledge, Skills & Abilities

• 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 skills

Visa Sponsorship: This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without current or future sponsorship.

Salary to be determined based on factors such as geographic location, skills, education, and/or experience of the applicant, as well as the internal equity and alignment with the team.

The pay ranges from $120,000.00-$160,000.00 plus benefits and retirement program.

Gilbane offers an excellent total compensation package which includes competitive health and welfare benefits and a generous profit-sharing/401k plan. We invest in our employees’ education and have built Gilbane University into a top training organization in the construction industry. Qualified applicants who are offered a position must pass a pre-employment substance abuse test.

Gilbane is an affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, national origin, race, religion, sex, sexual orientation, gender identity, protected veteran status, or disability status. Click here to view the physical demands and working conditions required to perform this role. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential job functions.