DataRobot is a pioneering force in the Fourth Industrial Revolution, leading the way with its automated machine learning solutions. With a relentless drive for innovation, the company invented the automated machine learning category and continues to revolutionize it through further advancements and breakthroughs. Its cutting-edge technology empowers businesses to solve complex problems and make informed decisions with ease, while saving valuable resources and accelerating time-to-value. As DataRobot pushes the boundaries of what’s possible with AI and machine learning, it remains steadfast in its commitment to help customers stay ahead of the curve and achieve their full potential.
DataRobot’s mission is to transform the decision-making processes of businesses across the globe by delivering impactful artificial intelligence and machine learning solutions that are both accessible and relevant to all. With a focus on creating measurable outcomes for organizations, the company aims to revolutionize industries ranging from banking and insurance to healthcare, positioning itself at the forefront of the AI revolution. As an employee of DataRobot, you will be part of a team whose mission is clear and ambitious, one that seeks to change the world through the power of AI and machine learning. Joining this team means being part of a group of revolutionaries who share the same drive and passion to make a difference in the world.
DataRobot provides AI solutions across various industries, enabling businesses to solve their most pressing problems through automated machine learning. The company’s solutions can be tailored to different roles, empowering business analysts and software engineers to build predictive models and embed AI into applications, while making existing data science personnel more productive and satisfied.
DataRobot’s solutions are also industry-specific, with a team of market experts creating personalized roadmaps for each industry to build an AI-driven enterprise. Whether it’s reducing fraud losses, retaining customers, or setting more accurate pricing, AI helps businesses achieve real results they can trust.
DataRobot’s solutions are also flexible, designed to meet the specific needs of each customer. The company combines a trusted AI platform with a strategic partnership for global enterprises that want to harness the power of AI and their existing teams to succeed in today’s Intelligence Revolution. With its personalized approach and dedication to helping businesses succeed through AI, DataRobot is well-positioned to lead the charge in the automated machine learning industry.
DataRobot distinguishes itself from other companies by fostering a culture that values hard work, results, and a passion for the work done. Employees have a voice in the company, challenging and supporting each other to find better, more robust solutions for customers and partners. The company is customer-driven, seeking to find new solutions to problems and striving for excellence in the customer experience.
DataRobot also emphasizes the importance of having fun and supporting each other’s philanthropic causes, creating a cohesive team that genuinely likes each other and enjoys spending time together. The company is global, supporting international customers and promoting regular collaboration across the globe to bring the best ideas to the table.
Furthermore, DataRobot is a purpose-driven environment that values commitment over complacency, leaning into challenges rather than accepting the status quo. The company is driven to succeed through a strong work ethic and personal dedication, building AI solutions that are poised to change industries for decades to come. With this focus on work ethic, dedication, and customer-driven solutions, DataRobot sets itself apart as a unique and rewarding place to work.
Debanjan Saha is the Chief Executive Officer (CEO) of DataRobot. Saha joined the company in 2019 as Chief Solutions Officer and was appointed CEO in early 2021. Prior to joining DataRobot, Saha was the Senior Vice President of Solutions and Capabilities at DXC Technology, where he was responsible for the company’s digital transformation business. Before that, he held leadership positions at IBM, PwC, and HP.
Debanjan holds a Bachelor of Engineering degree in Electronics and Communications from Jadavpur University in India and a Master of Science in Electrical Engineering from the University of California, Santa Barbara. He is also a graduate of the Harvard Business School’s Advanced Management Program.
Under Saha’s leadership, DataRobot has continued to expand its platform and services, offering solutions for industries such as healthcare, financial services, and manufacturing. Saha has also been focused on growing the company’s global presence, with recent expansions into Japan, Australia, and the United Kingdom.
In addition to his work at DataRobot, Saha is a board member of the Massachusetts Technology Leadership Council and a member of the Forbes Technology Council. He is recognized as a thought leader in the fields of artificial intelligence and machine learning, and has been a featured speaker at numerous industry conferences and events.
The success of DataRobot is driven by several key factors, including its powerful AI platform, its commitment to collaboration and transparency, and its focus on meeting the needs of both citizen data scientists and professional data scientists.
One of the key strengths of DataRobot is its AI platform, which is designed to be powerful, flexible, and easy to use. The platform is built on top of cutting-edge machine learning algorithms and is capable of handling large volumes of data from a variety of sources. This allows users to build accurate and reliable predictive models that can be used to make data-driven decisions.
In addition to its powerful platform, DataRobot is committed to collaboration and transparency. The company’s AI Success Plan is designed to help users understand how to use the platform to meet their specific business needs. This includes providing training and support throughout the project lifecycle, as well as tools for collaboration and communication with other stakeholders.
Another key driver of DataRobot’s success is its focus on meeting the needs of both citizen data scientists and professional data scientists. The platform is designed to be accessible to users with a range of skill levels, from beginners to experts. This means that even users with limited experience in data science can quickly and easily build predictive models using the platform.