355 Data scientist jobs in New York, NY
- Machine Learning Engineer - Applied Modeling - Data Technologies
Bloomberg4.1 ★New York, NY$165K - $260K (Employer est.)30d+ - 24h
- Senior Search Engineer - Artificial Intelligence GroupBloomberg4.1 ★New York, NY$160K - $240K (Employer est.)30d+
- Senior ML Platform Engineer - Artificial Intelligence GroupBloomberg4.1 ★New York, NY$160K - $240K (Employer est.)30d+
- 5d
- Senior NLP Research Engineer - Artificial Intelligence GroupBloomberg4.1 ★New York, NY$165K - $260K (Employer est.)30d+
- Senior Software Engineer - Machine Learning - Conversational SystemsBloomberg4.1 ★New York, NY$165K - $260K (Employer est.)30d+
- Senior Language Modeling Engineer - Artificial Intelligence GroupBloomberg4.1 ★New York, NY$165K - $260K (Employer est.)30d+
- 21d
- Marketing Analytics Data Scientist - Senior Associate
JPMorgan Chase & Co4 ★Brooklyn, NY$114K - $170K (Employer est.)24h - 4d
- 11d
- 24h
- 12d
- 7d
- 24h
- 19d
- 3d
- Sr Data Scientist - Marketing Science
Disney Direct to Consumer3.9 ★New York, NY$136K - $182K (Employer est.)5d - Colleague Insights Data Scientist - Reporting & Capability
Amex4.2 ★New York, NY$90K - $165K (Employer est.)11d
Job Outlook for Data Scientist
Powered by Glassdoor Economic ResearchData scientist jobs are in high demand as businesses increasingly rely on data to drive decision making. Data scientists come from a variety of disciplines, including engineering, math, computer science, business, and natural or social sciences with a greater number of colleges offering data science certificates and degree programs. Boot camps are also becoming increasingly common as a way of breaking into the field. Responsibilities include collecting, analyzing and interpreting big data. To remain competitive, job-seekers should be comfortable working with numbers, be great communicators and seek out industry-specific certifications and coding certifications.
Frequently asked questions
Ready to find a new data scientist job? So many amazing companies are looking for entry-level and remote data scientists, and more on Glassdoor right now. Your future favorite job might just be among them.
It's easy to find roles that match your level of experience. If you're newer to the field, look for junior positions to help you develop your skills and grow your expertise. If you're a more seasoned data scientist, search for senior positions. You can also use the handy filters Glassdoor offers to zero in on the perfect job. Want flexibility? Use the work from home only filter. Looking for a quick application process? Opt for the easy apply only filter.
Once you have the perfect job in your sights, start preparing for interviews. Review these frequently asked data scientist interview questions and suggestions about how to answer them successfully.
Whether you're still searching for a job, scheduling interviews, or negotiating a job offer, you must clearly know what a data scientist should earn. Here's how to set yourself up for salary success:
- Do some research to see what other data scientists are making near you. Location can impact your salary. Those in big cities may make more than those in smaller towns.
- Consider your years of experience and how they could influence your earning potential. Explore Glassdoor's breakdown of the data scientist career path and compare salaries based on level of seniority.
- Make a note of skills you have that are in demand for data scientists, like analytical skills, critical and logical thinking, math expertise, and fluency in programs like Python, R, and SQL.
Of course, salary is essential, but remember that employers may put other benefits on the table as part of your total compensation offer. Look out for additional perks, like:
- Performance bonuses, which could encourage you to do your very best work.
- Stock options are often part of a benefits package.
- Flexibility, including options like remote work and unlimited paid time off.