Data Science Jobs in New York: Apply Now

With a booming population, job seekers interested in data science can find lucrative careers in New York City. With the growing importance of data analytics in various sectors such as finance, healthcare, and more, organizations are looking to hire talented people to manage large data sets. New York is undoubtedly one of the most important cities in the world, embracing innovation and ideas in the technology industry.

Data science jobs in New York range from data analysts who solve primarily quantitative problems to machine learning engineers who build innovative algorithms. This is a profession that aligns with the cultural demographics of New York today and requires people who can adapt well to new changes in life and the business environment of the future. It is also important to understand the trends and developments happening in the data science job market to advance your career and support your organization.

If you're a data scientist or an aspiring data scientist who's recently joined the analytics circle, New York City is the perfect choice. Among Wall Street and Silicon Alley's newest companies, here are some organizations that are recruiting for the future of New York's economy: To succeed, you'll need a combination of technical skills, problem-solving abilities, and domain expertise. If you're looking to further your data science profession, don't miss your chance to be part of the data scientists paving the way for New York City and the world.

Many people dream of starting their career in New York City. Here is a list of jobs that can get you started.

Currently, The Wall Street Journal is hiring for a Data Reporter and the company is looking for a seasoned candidate to work in their data team. Hiring from many leading companies makes the company a top employer for data scientists. This individual will be responsible for reporting and data analysis across long-term enterprise projects and short-term reports. The candidate should have a strong passion for working on impactful journalism, be results-oriented, skilled in news analysis, and be able to deliver news stories that will grab the attention of readers.

• The ideal candidate will contribute strong, proactive writing to enterprise projects and other stories, as well as exclusive data analysis to all projects.

• They collaborate with reporters, editors and other visual journalists to develop compelling, data-driven content.

• It's often easier to pitch a story idea or share research data findings.

• Gain advanced knowledge of WSJ's key areas of focus, including finance, economic issues and political developments.

• This process requires the use of web scraping tools, big data, data mining tools, programming language skills, and more.

• Gain a deep understanding of Amex Offers, including merchants, cardholders and digital behavior. They want to know what interests our customers across all target countries.

• You will set strategic direction, assess business needs, and provide thought leadership on analytical solutions. A successful career in Data Science requires not only technical knowledge, analysis, and quality, but also domain domain expertise.

• If you are interested in continuing to grow in your career in data science, please take advantage of this opportunity to apply and become one of the select data scientists who will change New York City and the world.

• Build strong partnerships with GMNS Marketing, Consumer Marketing, and Amex Offers product and technology teams. Establish prioritization principles and manage the analytics engagement pipeline for various clients – all to keep things organized and on track.

• We established a technical team responsible for creating and maintaining a comprehensive reporting solution that leveraged data virtualization so that data from independent databases, the university data warehouse, and third-party sources could be accessed and easily incorporated into the final report.

• We actively engage with stakeholders, including subject matter experts and cross-functional teams, to understand their specific needs, challenges, and desired outcomes. We then use our domain knowledge and technical expertise to translate those business requirements into clearly defined analytical problems.

• Create and implement interactive data visualizations and dashboards that present academic productivity metrics from a variety of data sources and enable data-driven insights and decision-making to advance the achievement of the university's strategic goals.

• Gain a deep understanding of Amex Offers, including merchants, cardholders and digital behavior. We want to know what interests you in every applicable country.

• You will set strategic direction, assess business needs and provide thought leadership on analytical solutions. You will manage the entire process from ideation to completing and presenting the analysis.

• We value consistency, so we ask that you contribute regularly to our existing GitHub repositories, update our centralized project management tools, and collaborate efficiently with our global teams.

• Coordinate the entire workflow, from brainstorming and developing concepts to completing and sharing integrated analysis.

• Develop strong relationships with GMNS, Consumer Marketing and Amex Offers product and technology groups.

• You will involve all the appropriate and relevant stakeholders and focus on collaborating with internal subject matter experts and cross-functional teams. This requires you to understand their needs, their analysis and what they want from it. You will then apply your knowledge of different techniques of data analysis to translate those business requirements into quantitative problems in which you have expertise.

• Develop and deploy engaging data tools and large displays that showcase academic productivity metrics from a variety of data sources, enabling data-driven insights and decision-making – all while advancing towards achieving the university's strategic goals. A vibrant technology ecosystem fuels demand in New York.

• Develop robust and reliable machine learning algorithms that help solve strategic business problems.

• Apply the latest machine learning techniques to structured and unstructured data.

• We leverage a range of technologies, including Python, Konda, Azure Databricks, Java, and Spark, to uncover hidden insights in large amounts of statistical and textual data.

• Develop machine learning models at all stages of development, from design to training, evaluation, validation and deployment.

• Serves as a junior mentor and technical leader

• Communicate model algorithms and results to senior management and business partners in the research and development of new machine learning technologies and applications.

• Together with supply chain managers, technical staff and agricultural operations experts, new quantitative solutions must be developed to facilitate indoor agricultural environments.

• Analyzed, designed and applied machine learning and usability analysis models. Executed SQL to transform the raw data generated by the farm into a comprehensive data warehouse as the source of truth for all facts related to the project.

• You will work with other practice areas to develop metrics, understand research requirements and interpret results relevant to our products and business.

• Build and use statistical algorithmic models to proactively surface and predict relationships in data. Analyze historical data on crop growth and environmental characteristics to model and predict future crop yields and gain insights into potential improvements.