Machine learning, artificial intelligence, data science, predictive analytics are more than just buzzwords to us, they are our core business.

Mosaic is a leading data science consulting company focused on helping organizations build and deploy actionable analytics solutions. Our customers are as varied as the techniques we use – some just starting their first predictive analytics project; others with deep in-house machine learning expertise.

Whether you are looking for additional bandwidth to prototype a cutting-edge algorithm or simply want to know what “big data” means and if it applies to you, we’ve got you covered. Our world-class team of analytics professionals will work with your business, starting wherever you are now. From quick proof-of-concept (POC) sprints to enterprise-scale AI deployments, we are flexible and focused on efficient delivery of value. We can also “teach your team to fish” with targeted training workshops and strategic consulting.

With backgrounds in diverse fields such as operations research, social and life sciences, physics, math, and engineering, our team will generate creative solutions that combine industry best practices with innovative ideas. We will make sure your stakeholders understand what we are building and why so they have the confidence to rely on the tools we help you create.

Mosaic’s headquarters are located in the Washington, D.C. metro area. We have consultants across North America and clients around the globe.

Leadership Team

Chris Brinton
Chris Brinton
CEO | Founder
More than two decades of R&D experience in logistics. Founded Mosaic Data Science in 2014 and Mosaic ATM in 2004. Leads numerous analytics projects focused on improving the efficiency and safety of the National Airspace system. MS Electrical Engineering, Stanford | BSE Mechanical and Aerospace Engineering, Princeton
Steve Atkins
Steve Atkins
EVP | Founder
Analytics R&D experience for over two decades. Expert in decision support, advanced analytics and application of concepts to increase business efficiency. Numerous scientific publications. PhD, SM, SB Aeronautics and Astronautics and Astronautics, MIT.
Chris Provan
Chris Provan
Chief Data Scientist
Over 10 years successfully leading and executing advanced analytics projects for customers in a wide range of industries. Organizational analytics strategy coach and data science training instructor. Expert at integrating advanced statistical, optimization, and computer science techniques into decision processes to drive measurable impact on business outcomes. MS Operations Research, Cornell | BS Math Vanderbilt | INFORMS Certified Analytics Professional
Mark Thomas
Mark Thomas
VP Strategy & Marketing
Over two decades of strategy, marketing, business intelligence consulting, and business development experience in multiple industries. Leads strategic marketing initiatives and sales teams across Mosaic’s business units. Previously developed and managed client relationships with federal agencies. Expertise in developing new accounts and managing critical business relationships. MS Integrated Marketing Communications, Northwestern | BS Business Administration, Cal State Fullerton
Juan Rebollo
Juan Rebollo
Principal Data Scientist
Data scientist with over 10 years of experience developing statistical, optimization and data mining models with the goal of obtaining meaningful information from data and improving system efficiency. Experience in multiple industries, including banking, transportation, broadcast media, oil and gas, and retail. MS Aeronautics and Astronautics, MIT | BS Telecommunications Engineering, University of Seville.
Mike Shumpert
Mike Shumpert
Managing Director Data Science
Over two decades of product/service development across diverse industries. Solid record of applying data science and technology to produce double-digit revenue growth and cost savings in both small and large companies. Skilled at taking solutions from concept to reality and delivering tangible, measurable results. Lived and worked in the US, UK, France, and Australia. Formerly VP of Analytics for Software AG and VP of Global Product Management for Dun & Bradstreet. MBA, Georgetown | BS Systems Engineering (Operations Research), University of Virginia.
Drew Clancy
Drew Clancy
Marketing Manager
Marketing professional with 9 years experience helping companies grow through innovative marketing program design. Sets marketing strategy and executes that plan through a test and learn methodology. Interacts with prospects and clients. MBA Marketing Management, Business Analytics Syracuse University | BA English/Journalism, University of New Hampshire.
Sean Osis
Sean Osis
Principal Data Scientist
Over a decade of professional analytics experience bringing together skills from data management, analysis, visualization, and primary research. Applies this diverse skillset to develop novel tools and technologies for a variety of industries, including sports and healthcare. Leads operations in Canada. MSc Sports Biomechanics, University of Calgary | BKin Biomechanics, University of Calgary | INFORMS Certified Analytics Professional​
Michael Bloem
Michael Bloem
Principal Data Scientist
Over a decade of experience applying tools from optimization, machine learning, and human-centered design to solve problems in workplace analytics, commercial air traffic management, healthcare, and computer network security. PhD Operations Research, Stanford | MS Electrical & Computer Engineering, University of Illinois at Urbana-Champaign | BSE Electrical & Computer Engineering, Economics, Calvin College.
Cara Crawford
Cara Crawford
Senior Data Scientist
5 plus years as a professional data scientist. Combines skills in advanced analytics, behavioral science and data visualization to produce analytic solutions for industry that support human decision-making. Previous work in academic, nonprofit and industry settings have resulted in data-driven advancement in healthcare, education, and technology sectors. MS Research Psychology, University of Cambridge | BS Economics, Duke University.
John Slough
John Slough
Senior Data Scientist
Over 8 years working as a data scientist with extensive data analytics experience with a combination of skill-sets encompassing research analysis, data mining, statistical modelling, and business report development. Expert at visualizing historical data and predictions. MA Statistics, University College Dublin, Ireland | MBA, Virginia Tech | BA International Affairs, James Madison University
Meredith Gilstrap
Meredith Gilstrap
Senior Data Scientist
Over 8 years successfully leading and executing advanced analytics projects for customers in a wide range of industries. Organizational analytics strategy coach and data science training instructor. Expert at integrating advanced statistical, optimization, and computer science techniques into decision processes to drive measurable impact on business outcomes. MS Data Science | University of Indiana, BA Anthropology | Washington State University
Priya Karanth
Priya Karanth
Senior Data Scientist
Multiple year's expertise in building artificial intelligence/machine learning models across broad domains, e.g., Energy, Healthcare, and Aviation. Works closely with external stakeholders to define problems and collaborates with internal teams to develop effective analytics approaches. Extensive experience using deep neural networks for image segmentation, developing adaptive algorithms, using time series modelling. MEng Petroleum Engineering, University of Alberta, Canada | BS Chemical Engineering, Visveswaraya Technological University, India.
John Houser
John Houser
Senior Data Scientist
Over a decade of experience in statistical analysis and mathematical modeling across myriad industry segments and application domains. Significant experience with machine learning, natural language processing, and computer vision including detailed research in the application of advanced analytics within operational business environments. PhD Physics, Computational Biology, University of North Carolina at Chapel Hill | BS Physics, University of Texas, Austin.
Ledger West
Ledger West
Senior Data Scientist
8 years’ technology experience across cybersecurity and data science. Demonstrated ability to assimilate, incubate, and grow emerging technologies. Four years’ military officer experience. Lived and worked in the US, Korea, and China. MBA, Georgetown University | Nanodegrees in Deep Learning & Artificial Intelligence, Udacity | BA, East Asian Language and Culture, Columbia University

Featured Customers

Mosaic works with a broad array of customers through our data science consulting model. We provider a variety of ML/AI development and deployment services. We are able to work with such a diverse set of businesses by keeping our core business grounded in machine learning, predictive analytics and AI. Interested to see who else we work with?

Data Science Tools

Python is certainly a strength for Mosaic and all of our data scientists use it frequently.
Python is certainly a strength for Mosaic and all of our data scientists use it frequently.
All of our data scientists are expert at ML/AI development and deployment in R.
All of our data scientists are expert at ML/AI development and deployment in R.

Mosaic prefers to perform ML & AI development in open source languages like R & Python. We are a tool agnostic organization, and if you hit the link below, you will find a number of other platforms we work in.

Our data scientists have developed and deployed advanced ML & AI models for a variety of customers. Their deep knowledge across unsupervised and supervised learning techniques will enable Mosaic data scientists to develop predictive & prescriptive models that can improve the profitability and efficiency of any initiative. Our data scientists are also expert at explaining ML & AI models to a business audience. We do not believe in a black-box approach to data science as decision makers need to use these outputs.

Unlike others in the industry, we will not overwhelm a project with force. Being a small data science consulting firm allows us to be more strategic and forces us to focus on excellent customer outcomes. We pride ourselves in the ability to help our customers ascend the analytics maturity curve. We have done this through quick win projects, staff augmentation, capability development, and strategic consulting. Have a data science need? Let us know!