Senior Data Scientist

Gordian is the leading provider of Building Intelligence™ Solutions, delivering unrivaled insights, robust technology and comprehensive expertise that fuel customers’ success during every phase of the building lifecycle. Gordian created Job Order Contracting (JOC) and the industry standard RSMeans Data. We empower organizations to optimize capital investments, improve project performance and minimize long-term operating expenses.

Gordian is looking for a Data Scientist that will help build and expand our Data Science team by discovering the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, and doing statistical analysis to build data processes. Candidate will work with multiple teams to improve existing and create new processes.

Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Lead Data Science projects across multiple teams
• Data mining using state-of-the-art methods
• Extend company’s data with third party sources of information when needed
• Enhance data collection procedures to include information that is relevant for building analytic systems
• Process, cleanse, and verify the integrity of data used for analysis
• Coordinate with different functional teams to implement models and monitor outcomes
• Doing ad-hoc analysis and presenting results in a clear manner

Experience Required:

• Bachelor’s degree in Statistics, Math or Computer Science and 5+ years of professional data science/analytics experience, or 3 years of experience with a Master’s/PhD in Statistics, Mathematics, Computer Science
• Strong problem-solving skills
• Experience querying databases and using statistical computer languages: R, Python, Julia, SQL, in a business setting
• Excellent communication and data story-telling skills
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Experience using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) in practical applications
• Experience visualizing/presenting data for stakeholders using: Power BI, GGplot2, Shiny
• A proven ability to use applied statistics skills, such as distributions, statistical testing, regression

Qualifications:

• Experience working with and creating data architectures
• Experience with Natural Language Processing (NLP)
• Experience using distributed data/computing tools in a functional business setting including Map/Reduce, Hadoop, Hive, Spark, Azure Cosmos, MySQL
• Experience with Bayesian statistics and analysis (MCMC, simulation, inference, hypothesis testing)

We Are an Equal Opportunity Employer

Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should ask to speak with a Human Resources representative to request an accommodation.

National: The salary range for this position is $98,000- $182,000

This position is also eligible for bonus as part of the total compensation package.

Base pay offered may vary depending on various factors, including, but not limited to: job-related knowledge; skills; experience; and other eligibility factors such as geographic location. The Total Rewards package includes competitive base pay and an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work.