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.

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.

Mission Statement

Mosaic Data Science makes complex artificial intelligence and machine learning solutions actionable, explainable, and usable to any organization. Data science should be available at scale to all firms, whether you are just starting to think about it or already have an established team.

Mosaic Data Science was founded under our parent company Mosaic ATM, a leader in aviation research and development, under the premise that we had built a high-performing team of data scientists who could provide advanced analytics beyond the aviation sector to help combat the data science skill shortage and help our clients ascend the analytics maturity curve.

Since 2014 we have done just that; successfully partnering with organizations in every major industry, keeping our focus on data science. As a result, our clients can use these powerful insights to make better decisions that benefit all stakeholders.

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
Chris Provan | Managing Director of Data Science
Chris Provan
Managing Director of Data Science
Over 15 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
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.
Drew Clancy | VP of Marketing & Sales
Drew Clancy
VP of Marketing & Sales
Marketing professional with over a decade of 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 | Director of Data Science
Sean Osis
Director of Data Science
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​
Juan Rebollo | Chief Data Scientist
Juan Rebollo
Chief 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 | VP of Data Science
Mike Shumpert
VP of 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.
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
Priya Karanth | Principal Data Scientist
Priya Karanth
Principal 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.
Evan Lynch | Principal Data Scientist
Evan Lynch
Principal 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
Daniel Salazar | Principal Data Scientist
Daniel Salazar
Principal Data Scientist
Data scientist with close to 15 years of experience in applied research in both academic and commercial settings. Supports a wide variety of clients using statistics, optimization, simulation, and machine learning to solve problems in different areas including critical infrastructure protection and risk and reliability engineering and predictive algorithms for SaaS companies. Collaborates with clients and internal staff throughout all phases of product development—ideation to productization.
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
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.
Austin Stegall | Senior Data Scientist
Austin Stegall
Senior Data Scientist
Senior Data Scientist with several years of experience in providing AI/ML solutions across the energy and defense sector. Experience in deep learning, computer vision, and providing analytics solutions to engineering/automation applications. MS Data Analytics, Clarkson University | BS Mechanical Engineering, Clarkson University.
Griffin Thornton | Senior Data Scientist
Griffin Thornton
Senior Data Scientist
Data Scientist with 5 years of experience generating value for customers from their data. Specializes in machine learning with experience manipulating a variety of data formats, from network data to text, to create actionable insights. Proficient in Python, SQL, and the Hadoop Ecosystem. B.S. - University of Michigan, M.S. - Loyola University Maryland
Alex Tennant | Senior Data Scientist
Alex Tennant
Senior Data Scientist
Data Scientist with years of experience in project scoping and design, research, optimization, statistical and mathematical modeling, model predictive control, machine learning, and optimization. Experience ranging from proof-of-concept and prototype modeling, to production models for clients in a broad range of industries. M.Sc Physics - University of Calgary, B.Sc Physics - University of Calgary. ​
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.
McKenzie Quinn | Data Scientist
McKenzie Quinn
Data Scientist
Data Scientist with 3 years of experience in providing end to end machine learning solutions in varying domains. Experience in natural language processing, forecasting, model deployment and data engineering. Google Cloud Certified Professional Data Engineer | MS Data Science, Indiana University – Bloomington | BA Statical & Actuarial Mathematics, Saint Mary’s College – Notre Dame.
Brandon Chan | Data Scientist
Brandon Chan
Data Scientist
Data Scientist with years of experience in data analytics and developing machine learning applications in domains such as healthcare and chemometrics. Experienced in collaborating in multidisciplinary environments to create solutions from the ground up including data acquisition, data processing, model development, and model deployment. MSc Computer Science, Queen’s University | BComp Computer Science, Queen’s University
Tyler Norkus | Director of Sales
Tyler Norkus
Director of Sales
Tyler enjoys connecting business and operational performance with emerging technologies including AI/ML, IIoT, Edge Computing, and Big Data. He has an MBA from the University of Louisville and 8 years’ technology experience leading global enterprise engagements and coordinating internal and external teams to deliver transformative results. When he is not working, he enjoys hiking with his black schnauzer Pepper, listening to podcasts with his wife Lisa, and trying new spicy foods.
Melissa Rodriguez | Digital Marketing Specialist
Melissa Rodriguez
Digital Marketing Specialist
End-to-end content marketer who can handle strategy and execution to bring ideas to life. Passionate writer with a knack for words and 5 years of experience creating content for various marketing channels & industries. MS in Web Design and BS in Public Relations at the University of Florida.

How We Help Our Customers

Artificial Intelligence Grounded in Value

Mosaic excels at quickly identifying artificial intelligence (AI) opportunities that drive value for all an organization’s stakeholders. We have seen AI deployed correctly & incorrectly and know what to evaluate across an organization.

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

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

State-of-the-Art Machine Learning 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 analytics. Our data scientists are fluent in the full spectrum of machine learning (ML) techniques, leveraging practical expertise in deep learning, reinforcement learning, and unsupervised learning. We know how and why to deploy a convolutional neural network vs. a support vector machine based on desired inputs and outcomes.

Whether staff augmentation services or proof of concepts are required, Mosaic will handle the complex mathematics behind the scenes, letting you focus on running your organization with ML-driven insights and automation.

Mathematical Optimization

Mosaic crafts custom optimization solutions that don’t just crunch numbers but recommend strategic success under constraints. Optimization is where algorithms show paths to the best decisions to help solve common problems major industries face, including scheduling, routing, assignment, and others.

We take a holistic approach to problem-solving, focusing on developing custom applications that fit your ecosystem rather than trying to fit prebuilt solutions that don’t integrate into your workflow.

The market is hungry for optimization specialists with real-world experience, but the search can be a maze. Mosaic offers firms a strategic way to tap into our expertise without the overhead headaches.

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

Unlike others in the industry, we will not overwhelm a project with force. Being a smaller, top data science consulting company 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!