Requisition ID: 175035Job Level: Mid LevelHome District/Group: DHO Kiewit Data ServicesDepartment: Data ServicesMarket: Corporate Home OfficeEmployment Type: Full TimePosition OverviewAt Kiewit, we operate in seven different markets, with many dynamics that impact business decisions. We thrive on being the best at what we do, and to continue our success, we must navigate the future with confidence, embracing decision-making with clear, concise, data-driven analysis, tools & solutions that deliver value to each of our business areas. Our Data Science team helps our executives and leaders advance their businesses through effective analysis, machine learning, and AI tools to support our Engineering and Construction projects.As a Data Scientist, you will team up with business stakeholders, and innovative engineers to prioritize innovation ideas and work with other data scientists to develop and deliver breakthrough Machine Learning solutions, predictive models and visualizations. This work will transform how we perform Engineering analysis and project design for all of our market areas.District OverviewKiewit Data Services’ (KDS) mission is to make Kiewit the premier data-driven organization in our industry. To accomplish this, our projects and districts need to have the right data, of the right quality, with the right level of analysis, available to them at the right time. KDS is a cross functional organization with employees that have expertise in data, technology, support and operations backgrounds. Our core functions are data Quality, Governance, Enablement, Analytics and Data Science.LocationThis position is based in the office at our headquarters, in Omaha Nebraska. This is not a remote work opportunity. We do offer relocation assistance.Responsibilities
Perform problem formation, data cleaning, data analysis, predictive modeling, presentation of results, and continuous improvement for machine learning opportunities in the engineering and construction space
Present model results and their applications to executive leadership
Create training materials and provide in-person trainings to department managers and engineers
Adhere to software engineering best practices for architecture, development, and maintenance
Develop and deploy model APIs to Azure
Collaborate with data engineering to design data pipelines for data science projects
Collaborate with other data science team members to complete projects and improve departmental processes
Qualifications
BA / BS in Analytics, Statistics, Mathematics, Computer Science, Economics, or related field; with demonstrated interest and experience in data analysis. Candidates holding advanced degrees (Master's or Ph.D.) in these disciplines are also encouraged to apply
Minimum of 1+ years Python programming required
Proficiency with SQL to support data acquisition functions required
Must have a minimum of two years experience, working as a Data Scientist with real world experience applying machine learning techniques (Gradient boosting, PyTorch, linear regression, KNN, etc.) and deploying models, with an interest in applying these skills for our engineering and construction projects
Excellent verbal and written communication skills required. Must have the demonstrated ability to effectively communicate key findings or relationships using Python data visualization techniques ( such as Plotly, seaborn ) to key stakeholders and experience presenting data, models and findings to technical audiences
Ability to work independently and as part of a team, collaborating to achieve the best solutions for our engineering and construction teams
Minimum of 2+ years experience developing and monitoring production software and CI/CD pipelines
Initial projects will include:
Use of large language models to clean and augment engineering data
Conversion of mechanical equipment and engineered equipment to construction quantities
Predictions of engineering cost, duration, and schedule
Automation for design routing for storm drainage and conduit
Other Requirements:
Regular, reliable attendance
Work productively and meet deadlines timely
Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
We offer our fulltime staff employees a comprehensive benefits package that’s among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.Company: Kiewit