Una candidatura hecha a medida para este puesto de trabajo — un currículum y una carta de presentación adaptados que responden directamente a la oferta.
Gilbane is seeking a Data Scientist to join the centralized Data Science Team, focusing on data analysis, AI and ML use case development. The role requires translating business questions into analytical solutions and presenting findings to executives.
The candidate will work with SQL, R, Python, Excel and Microstrategy to mine data, build predictive models, and automate processes while collaborating with business partners.
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.
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.
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