Machine learning, artificial intelligence, data science, and 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.

Data Science Grounded in Value

Mosaic excels at quickly identifying advanced analytics opportunities that drive value for all of an organization’s stakeholders. We have seen data science deployed correctly & incorrectly, and know what to evaluate across an organization.

Our data scientists come from diverse backgrounds and have worked in professional data science roles for several years. This data science strength allows us to translate math into business and vice versa quickly.

Collaboration is crucial to deploy advanced data analytics effectively, and Mosaic works closely with our customers to ensure that our ML and AI solutions are innovative and impactful. We know when to balance explainability with model performance.

State of the Art ML/AI Services

Mosaic excels at challenges that require a predictive or prescriptive model. Our data science staff enjoy deploying several algorithmic approaches to drive better decisions and outcomes.

As the name implies, Mosaic specializes in building predictive & prescriptive analytics. Our data scientists are fluent in the most advanced ML/AI techniques, leveraging practical expertise in deep learning, NLP, and computer vision. We know how and why to deploy a convolutional neural network or a support vector machine based on the inputs and outcomes desired.

Whether data science staff augmentation services or a proof of concept are required, Mosaic will handle the complex mathematics behind the scenes, letting you focus on running your organization with AI-driven insights.

End-to-End ML/AI Services

Mosaic understands our solutions aren’t created in a vacuum and are well-versed in model monitoring practices, identifying drift, bias, and degradation.

Our data scientists know there must be organizational change to accept the ML-driven insights fully. We offer unique digital transformation consulting and data science organization development to ensure our ML/AI fuels innovation and automation.

Efficient, effective, and agile software development practices are critical here at Mosaic to make our solutions practical. We are comfortable expertly implementing models at scale, integrating with your existing infrastructure, or building a custom AI-driven app.

Download our one-pager describing our unique approach to data science.

Get to Know Us

Whether you are looking for additional bandwidth to prototype a cutting-edge algorithm or simply want to know what “artificial intelligence” 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.

Our Team

We leveraged deep learning techniques to place our headshots in the styles of iconic paintings, photographs, movie posters, and more! To see the original print for each headshot, just click on the person’s name.

Chris Brinton | CEO & Co-Founder
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
Mike Shumpert | Managing Director of Data Science
Mike Shumpert
Managing Director Data Science
Over two decades of product/service development across diverse industries. Solid record of applying data science to produce double-digit revenue growth and cost savings in both small and large companies. 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.
Steve Atkins | EVP & Co-Founder
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, MIT.
Mark Thomas | VP Sales
Mark Thomas
VP Sales
Over two decades of strategy, marketing, business intelligence consulting, and business development experience in multiple industries. Leads sales teams across Mosaic’s business units. Expertise in developing new accounts and managing critical business relationships. MS Integrated Marketing Communications, Northwestern | BS Business Administration, Cal State Fullerton
Chris Provan | Chief Data Scientist
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
Juan Rebollo | Principal Data Scientist
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.
Sean Osis | Principal Data Scientist
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​
Drew Clancy | Director of Marketing
Drew Clancy
Director of Marketing
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.
Ledger West | Principal Data Scientist
Ledger West
Principal 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
Keith Rudd | Principal Data Scientist
Keith Rudd
Principal Data Scientist
Data scientist with over 10 years experience in research, algorithm development, and software development in Big Data environments. Worked on applications ranging from object detection/localization in overhead imagery to data fusion of multiple modalities. PhD Mechanical Engineering Duke University | MEM Engineering Management Duke University | | MS Applied Mathematics Northwestern University | BS Mathematics Brigham Young University
Yonatan Negash | Principal Data Scientist
Yonatan Negash
Principal Data Scientist
Over a decade of professional experience in data science and data engineering. Extensive experience in developing statistical and machine learning models in various domains such as finance, healthcare, and bioinformatics. Experienced in providing end-to-end analytics solutions, including design, implementation, validation, and deployment. MS Applied Statistics, Texas A&M | BS Bioinformatics, UMBC
Priya Karanth | Senior Data Scientist
Priya Karanth
Senior Data Scientist
Multiple year's expertise in building AI/ML models across broad domains. Works closely with external stakeholders to define problems and collaborates with teams to develop effective approaches. Extensive experience using deep neural networks for computer vision and developing adaptive vision algorithms. MEng Petroleum Engineering, University of Alberta, Canada | BS Chemical Engineering, Visveswaraya Technological University, India.
John Slough | Senior Data Scientist
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
Evan Lynch | Senior Data Scientist
Evan Lynch
Senior Data Scientist
6 years of data science & consulting experience across a variety of sectors including logistics, healthcare, utilities, technology, government & defense. Expertise in solving complex optimization problems. Passionate about using machine learning and optimization to drive tactical and operational decision making. MS, Operations Research, George Mason University | BBA Operations & Information Management, UMass Amherst
Shaymaa Khater | Senior Data Scientist
Shaymaa Khater
Senior Data Scientist
Senior Data Scientist with over 12 years of experience in the data science field, with a wide range of expertise in cutting-edge technologies, including computer vision, deep learning models, natural language processing, and recommendation systems. Ph.D., Computer Science and Applications, Virginia Polytechnic and State University, Blacksburg, VA | MS Computer Science Ain Shams University, Egypt | BS Computer Science, Ain Shams University, Egypt
Greg Hilston | Senior Data Scientist
Greg Hilston
Senior Data Scientist
Over 6 years of experience in the software and data industry. Focusing on business growth and automation. Experienced at distilling business problems into actionable technical steps and sharing results throughout the organization. MS Computer Science, Johns Hopkins University | BS Computer Science, University of New Hampshire
Zach Cleghern | Senior Data Scientist
Zach Cleghern
Senior Data Scientist
Senior Data scientist with several years of experience in using machine learning and analytics and designing and building data-focused systems to solve problems in a variety of domains. Experienced in modeling, including deep learning, data analysis, software engineering and cloud deployment with a focus on time series and sensor systems.
Mary Gibbs | Data Scientist
Mary Gibbs
Data Scientist
Over 2 years of experience in data analysis and software development. Expertise in translating business problems into analytical solutions. Skilled in utilizing data mining, visualization, and modeling techniques to provide actionable insights to problems in various domains. MS Data Science, The George Washington University | BA Biological Sciences, Cornell University
Karis Jochen | Data Scientist
Karis Jochen
Data Scientist
Data Scientist with a broad range of business knowledge and experience supporting ML/AI efforts. Emphasizes solution optimization and maximizing meaning from data through feature engineering and advanced analytics. Skilled in python programming, text analytics and communicating technical solutions.
Lyndon Rey | Data Scientist
Lyndon Rey
Data Scientist
Data scientist specializing in NLP, with multiple years experience working with both text and audio. Expertise includes utilizing and building transformer models, encoder-decoder networks, and various acoustic signal processing techniques. Emphasis on gaining meaningful business insights from (often messy) human-generated data. MA Linguistics, University of Calgary | BA Linguistics, University of Western Ontario
Seth Youngner | Account Manager
Seth Youngner
Account Manager
Sales Executive with over 6 years of experience uncovering, progressing, and closing net new business across North America. Maintains and promotes sales opportunities from the initial conversation to finalizing contracts. Builds relationships with executives to understand their business problems. Provides knowledgeable impartial advice to support business leaders in their digital transformations. BA Philosophy | University of Virginia
Sel Gerosa | Junior Web Designer
Sel Gerosa
Junior Web Designer
Versatile web and digital designer with over three years of experience in website design, digital marketing, and illustration. Project applications range from website development and implementation to brand identity strategy and generation. BFA Graphic Design, Boston University

Featured Customers

Mosaic works with a broad array of customers through our data science consulting model. We provide 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.

Data Science Tools

Mosaic prefers to perform ML & AI development in open source languages like R & Python.

However, we are a tool agnostic organization, and if you hit the link below, you will find a number of other platforms we work in.

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!