Data science is growing more quickly than ever before — and most of this transformation is taking place in NYC. According to a report from the New Jersey Institute of Technology, the NYC metropolitan area has the greatest demand for data science professionals among the top 20 metro areas in the United States, surpassing traditional tech hubs like San Francisco.
Needless to say, it’s a great time to be a data scientist in NYC. Many companies are searching for local data scientists who can use their technical expertise to tackle challenges across a diverse range of industries. Whether they’re helping more people gain access to mental health care or enabling teams to stay organized, data scientists at these companies have ample opportunities to make an impact. Check out our list of companies hiring data scientists in NYC to see what’s in store for the city’s data science community.
Companies Hiring Data Scientists in NYC
- Dropbox
- Datadog
- ZS
- Spring Health
- Grubhub
- Notion
NYC Companies Hiring Data Scientists
Biz2Credit offers an online marketplace for small business funding. The company, which is headquartered near Penn Station, has multiple data science roles open. Data scientists at Biz2Credit use predictive modelling and machine learning techniques to identify factors that might influence user behavior throughout the loan application process and leverage those insights to improve the user experience.
Grubhub partners with restaurants across the United States to offer food delivery and pickup services. The company’s platform is currently used by more than 300,000 restaurants in more than 4,000 U.S. cities. Leveraging programming languages like Python and R, the company’s data scientists focus on various tasks, such as creating scalable, reliable experimentation processes and building strong relationships with stakeholders across other tech teams.
NinjaTrader provides software, brokerage services and educational resources to support active retail futures traders. According to the company, its data scientists benefit from both technical challenges, such as working with raw data, model deployment and streaming pipelines, and deep domain exposure in futures, derivatives markets and brokerage operations.
Datadog’s platform supports digital transformation, cloud migration and infrastructure monitoring of organizations’ technology stacks. Serving clients in aviation, entertainment and other industries, the company offers various AI solutions, such as Bits AI, which enables teams to use natural language to make complex queries and garner synthesized insights from across their entire tech stack. The company’s data scientists accomplish a variety of tasks, from identifying business opportunities through data exploration to developing machine learning models and pipelines at scale.
Founded in 2016, Spring Health enables employers and health insurers to provide virtual mental health care services. Powered by clinically validated AI technology, the company’s platform connects people with various forms of mental health care, from meditation exercises to individual therapy. The company’s data scientists stay busy pursuing innovative AI and machine learning capabilities, analyzing data across aspects of members’ mental health journeys and more.
Order.co offers a comprehensive platform that leverages AI and automation capabilities to help businesses streamline their purchasing and payments workflows. The company is a remote-first employer, but maintains its headquarters in New York City. Order.co is looking for data science applicants who have experience working with generative and agentic AI systems and bring a strong mathematics and statistics background.
Hinge offers a dating app that is engineered to match users with those that have the most potential to lead to meaningful relationships. It says that the work of its data scientists makes its app and organization possible. Those on its data team have to be well versed in programming languages and tech that include Terraform, Docker, Python, SQL and Kubernetes.
ZS is a management consulting and technology firm that serves clients in a wide range of industries, including pharmaceuticals and consumer goods. The company’s solutions include integrated analytics strategy, digital product development and brand positioning. Relying on tools like Pyspark and SQL, the company’s data scientists stay busy developing and implementing advanced algorithms, executing statistical and data modeling techniques, and more.
Dropbox provides cloud computing solutions for file storage, sharing and team collaboration. Its scalable infrastructure integrates artificial intelligence to simplify workflows and improve productivity for businesses. The remote-first enterprise is hiring data scientists working across the Unites States, including NYC.
Notion’s connected workspace tool enables teams to organize projects, goals, calendars, roadmaps and more in one place. The tool’s built-in AI feature allows team members to search for, edit and draft content, while its collaborative features enable teams to share, suggest and comment on information. For the company’s data scientists, a typical day may involve determining both North Star and operational metrics, and building and maintaining dashboards used for monitoring progress.
