6 Data Science Startups To Work For In 2022
If you’re looking to put your skills to the test, here are the top six startups you should consider working for in 2022.
Photo by Mika Baumeister on Unsplash
Data science fuels the future. It helps us create innovative products, offer better services to customers, make smart decisions, and provide value to all stakeholders. It’s no wonder that data science has become a core business function!
Studies indicate that the big data market will have a global revenue of $68.09 billion by 2025, which is why we see many startups based around this industry.
Data science is one of the few sectors that expects employees to evolve together with their work. Because of that, there is a constant learning curve as data scientists progress in their careers and technology advances.
The last few years have seen a rise in startups, including data science, artificial intelligence, and machine learning models. If you’re looking to put your skills to the test, here are the top six startups you should consider working for in 2022.
Top 6 startups in Data Science
Studies suggest that global organizations will be creating 180 zettabytes of data by 2025. This means many up-and-coming small businesses that use data science can be a great place to work if you are new to the field.
Working in a startup can help you improve your skills, and you can expect to grow with the organization. The following are the top six startups that leverage data science and can be an excellent place for someone just starting their career.
Avora is headquartered in London, and the organization works on augmented analytics. The company offers a platform that allows in-depth analysis in a simplified way. This is done by hiding the complexities of data analysis and allowing non-technical users to create reports. Additionally, the platform cuts down the preparation time for data by 80% with the help of machine learning models.
Moreover, it helps business managers make informed decisions and improve productivity. The platform can work for various industries, including supply chain and financial services, retail, advertising, and entertainment. Data scientists looking to improve their skills and learn with the company can see Avora as a great option to work in.
When we talk about artificial intelligence coming together with data sciences, Cognino AI is on that list. While being a startup, Cognino has made strides in the data science and AI sector, creating a research-led AI with deep expertise in self-learning Explainable AI. The solution allows organizations to speed up their data preparation process and obtain meaningful insights. They have data scientists training the AI to prepare large data sets to help the client. Working in Cognino can help you polish your skills and work towards something great in an AI-dominated field.
Databand was founded in 2018 by Joshua Benamram, Evgeny Shulman, and Victor Shafran. The organization works out of Tel Aviv and offers its clients a software platform for agile machine learning development. The platform enables organizations to gain a global view of their data, complete their workflow pipelines, and manage resource consumption.
Databand can also fit natively in your modern data stack and can be integrated into tools such as Apache Airflow, Kubernetes, Spark, and other machine learning offerings from cloud providers. Data scientists looking to learn more about various tools and how to integrate them can have a great learning experience at Databand.
Exceed.ai is rapidly excelling with its AI-powered sales platform that allows organizations to communicate with prospects, helping marketing and sales teams improve their lead engagement and qualification efforts.
Using natural language and artificial intelligence, the company provides a way to communicate with leads through chat and email, freeing up resources and automating repetitive tasks. Data scientists with a strong interest in artificial intelligence and natural language processing can learn a lot from Exceed.ai, making it a great place to work in.
Organizations worldwide find it challenging to prepare unstructured data and obtain meaningful insights due to the lack of framework. Indico has introduced an AI platform to help clients organize unstructured content and automate back-office tasks. Indico has made a name by automating manual processes and document-based workflows.
The platform enables users to train ML models and eliminate the need for traditional rule-based techniques. It makes the adoption of AI and machine learning models simple and easy to use for organizations with large unstructured data sets. Anyone interested in data science and creating machine learning models will find themselves learning a lot at Indico.
Algorithmia is considered one of the best startups for machine learning operations, enabling organizations to produce machine learning models with enterprise-level governance and security.
Algorithmia offers ML deployment, flexible tooling, and leveraging existing SDLC and CI/CD practices. The organization already boasts a portfolio of over 100,000 engineers using their solutions, ranging from government intelligence agencies, Fortune 500 companies, and even the United Nations.
Algorithmia is the holy grail of data science businesses that can help you improve your skills and propel you in your career.
Data science has seen explosive growth in the past few years. As a result, data scientists are looking for organizations that can help them hone their skills and evolve with the ever-changing industry. Several startups are based around data science and are already making rapid advancements in the field. Data scientists looking for a great place to work can choose one of the startups mentioned above as a strong launchpad for their career.
Nahla Davies is a software developer and tech writer. Before devoting her work full time to technical writing, she managed—among other intriguing things—to serve as a lead programmer at an Inc. 5,000 experiential branding organization whose clients include Samsung, Time Warner, Netflix, and Sony.