Senior Data Scientist

4 weeks ago


Pittsburgh, Pennsylvania, United States Gilbane Building Company Full time

About the Role

Gilbane Building Company is seeking a highly skilled Senior Data Scientist to join our Information Technology Team. As a Top-10 ENR Contractor, we are a family-owned business with 45 offices that has been shaping communities since 1870.

We are committed to delivering projects safely and on-time, and we are looking for a coach/leader who leads with an inclusive and empathetic mindset. You will have the opportunity to build high-performing teams by attracting, engaging, developing, and retaining talented individuals through motivation and discipline to maximize impact on the organization and the individual.

You will leverage business insights by understanding industry trends, local market/economic conditions, and our business model to make critical decisions and create competitive advantage. You will deploy a strategic mindset when considering solutions to long-term opportunities and risks that may develop in the future.

Your Core Values

Your core values match ours:

  • Integrity
  • Caring
  • Teamwork
  • Toughmindedness
  • Dedication to Excellence
  • Discipline
  • Loyalty
  • Entrepreneurship

What's in it for you?

Gilbane offers employees multi-dimensional training opportunities through our award-winning Gilbane University to build leadership and technical skills. You will work with experienced Sr. Project Managers and Project Executives on each job site, providing you with the opportunity to learn new industry skills every day.

You will protect and promote the interests of both Gilbane and the client in all matters, as well as demonstrating the personal characteristics of a developing leader.

Responsibilities

Work with stakeholders to gather deep understanding of business problems and develop predictive models to predict outcomes. Leverage the model development process to identify critical drivers of predicted outcomes (variable importance) and guide business to take action on these insights.

Partner with business SMEs in the process to enrich model insights and improve model performance. Data mine various data systems, clean and structure data to optimize model performance and identify areas for data quality improvements in enterprise data environment.

Partner with Data Engineering and BI teams to put models and insights into production. Develop causal inference / explanatory path models to help business understand drivers of key outcomes.

Work with stakeholders to ensure understanding of models and implement business process change to improve outcomes based on model output.

Qualifications

Bachelor's degree, PhD desired, Master's at least required in statistics, data science, economics, psychology (research / experimental) or other heavy quant focused social or other science (biometrics). Need deep knowledge of statistics, predictive modeling, machine learning, data mining, feature engineering. Requires strong skills in SQL and Python or R. Excellent communicator / consultative approach, PowerPoint and presentation skills required.

Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. For Richmond, VA this ranges from $156,000.00 to $214,000.00 plus benefits and retirement program. For Providence, RI and Glastonbury, CT this ranges from $164,000.00 to $225,000.00 plus benefits and retirement program. For Arlington, VA and Boston, MA this ranges from $182,000.00 to $250,000.00 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.


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