Best Data Analyst & Data Science Jobs in NYC

Adeptly interpret and utilize mass quantities of data to generate innovative hypotheses & insights, and present these insights to the different stakeholders. Use sophisticated statistical methods to solve problems, leveraging up-to-date academic research and tools. Quantitatively test hypotheses about customer and driver behavior using large sets of proprietary data; leverage results to increase conversion and retention at every touch point. Design and implement novel experiments to better understand current operation as well as expansion to new markets.

Collaborate with a cross-functional team of product managers, researchers, and engineers to develop and iterate on product features. Translate product objectives to data science problems and vice versa. Apply statistical inference to draw rigorous conclusions from data. Identify and execute on opportunities to apply machine learning to improve user experience. Perform ad hoc exploratory analysis as needed.

As a Data Scientist at Ohi, you will be building the technical systems and analytics that the business will need to quickly scale and grow. You will be part of a team that prioritizes collaboration, personal development, and getting things done. You will be part of a company that is trying to provide consumers with a faster, better, and more sustainable experience by enabling e-commerce companies an optimized platform.

Crossix is a health-focused technology company dedicated to advancing healthcare marketing with analytics and innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, Crossix, a Veeva Company, provides our clients with insights to help make strategic business decisions and drive improved patient outcomes. Crossix knows that our employees are

Crossix is a health-focused technology company dedicated to advancing healthcare marketing with analytics and innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, Crossix, a Veeva Company, provides our clients with insights to help make strategic business decisions and drive improved patient outcomes. Crossix knows that our employees are

Hopper is looking for a data-savvy individual to join our team as a Data Scientist and lead data-centric product development and complex business intelligence projects within our core air travel business unit. Every day you would draw powerful insights from our real-time feed of billions of flight search results and archives of several trillion data points. To succeed at Hopper you need the talent, passion, and experience to thrive in a highly performing company.

Cherre is looking for a Data Scientist who will be building ML algorithms and AI. This role requires a combination of quantitative and software engineering skills to build scalable solutions. Because of the complexity and variety of the data sets we use, it's critical that you have an interest in learning Real Estate and Derived datasets. Previous Real Estate experience is not required. You will not only do analysis, but will also be expected to deliver production code.

Hinge is seeking a data scientist to oversee initiatives in statistical modeling and recommender systems. You will lead efforts to glean actionable insights from massive amounts of data for the purpose of driving product decisions. This role is expected to progress to a managerial position within 6 months. Responsibilities: Translate product objectives to data science problems and vice versa Apply statistical inference to draw rigorous

Take complicated problems and translate them into data problems that can be solved using algorithms. Mine and connect many large and disparate data sources using our databases and SQL and other unstructured data repositories. Develop machine learning based applications using supervised and unsupervised models using R or Python that optimize and personalize customer experiences or reduce manual effort on our internal teams through automated decision making. Utilize deep learning techniques to solve problems related to natural language processing, computer vision and prediction. Partner with data engineering to take your model from science experiment to deployed infrastructure. Develop experiments to understand model impact. Develop and monitor model analytics and manage training and retraining pipelines. Brainstorm future use cases and contribute to the learning culture of the data science team. Partner with and mentor other data scientists.

We’re looking for a Senior Data Scientist who is passionate about the engineering side of Data Science. You will be joining a new Data Science Operations team tasked with accelerating Data Science research and development through improved design and best practice adoption, as well as through tooling and processes. You are a broad generalist. You enjoy collaborating with scientists to build software and to improve workflows. You appreciate all stages of data operations, from ingestion and transformation of data to use in statistical models and machine learning products. You will work primarily with data science teams to collaboratively build elegant, reusable domain-specific python libraries and services; and you will remove pain points and inefficiencies in development, feature creation, prototyping, and productionalization. You will also collaborate with Data Engineering and Data Platforms teams in pursuit of Data Science workflow improvements. You should excel in a culture of teaching and learning.

Data Insights is a diverse and talented team with strong expertise in discovering, prototyping and launching new data products. As a Senior Data Scientist on this team, you will define data strategy, drive technical execution, and help us create the next generation of our real-world evidence data products. You will be embedded on a newly formed team within our Real World Evidence business line. This team is focused on developing new research variables and analytic models that can advance our data products. You will be tasked with curating high quality clinical research variables from structured and unstructured data sources using creative data science approaches. You’ll then work cross-functionally with software engineers, quantitative scientists and oncologists to productionize and validate these new variables, and ultimately empower our Life Science customers to do higher quality research with real-world data. All throughout this process you’ll contribute to the data science tools and platforms that scale our team’s ability to unlock new value from Flatiron data.

As a Data Analyst, you will support the adoption of business intelligence tools across teams, foster a culture of insightful analysis and crisp reporting, and become a trusted business partner within the organization. You know and love working with data and analytics tools and can use your technical skills, business acumen, and creativity to solve unique business problems. Reporting to the Analytics Manager, you’ll work closely with business, marketing, data science, engineering, and product teams to develop a deep understanding of TpT’s business and drive strategy and action through high quality, timely analysis.