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.

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.

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.

 * Our Senior Data Scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients. * Our Data Science team is embedded into nearly a dozen individual, mission-focused engineering teams working across a wide spectrum of technological and scientific challenges. You will have the opportunity, depending on your interests and background, to work on problems related to natural language processing and machine learning over hundreds of millions of web pages; graph mining and algorithmic optimization on petabytes of data; differential privacy across billions of user IDs; and causal inference with missing data - to name a few. * Senior Data Scientists contribute to more than our product – they build up our team. Through a combination of mentoring and technical leadership, they make others better and raise the bar for those around them.

As a leader within the data engineering team, you’ll help translate our vision of accelerating the way landlords and tenants plan, market, lease, and manage space. Reporting to the VP of Engineering, you will be the first Data Science hire for VTS and will help build and lead this team over the coming years. As such, you will: Define and monitor metrics, create data narratives, and build tools to drive decisions. Build and interpret algorithms and machine learning models that power VTS’ data products. Employ statistical tools to establish relationships. Help design and build VTS’ next-generation data products and research reports that will leverage the power of our data sets. Ensure our data sets are complete, unique, timely, valid, accurate, consistent, and easy to consume. Work closely with engineers, product managers, designers, QA, and other business partners to discover and solve challenges for our customers. Collaborate with other full-stack teams to incrementally craft high-quality products for our customers. Have organization-wide impact through your work, departmental initiatives like brown bags and recruiting, being a mentor or onboarding buddy, etc.. Stay current, publish, present, and contribute as a thought leader in the field of Machine / Deep Learning and AI.

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

We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives. We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals. We are a data-driven company through and through. We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people. We offer a generous budget for personal development expenses like training courses, conferences, and books. You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats. Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.

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.

Apply machine learning, data mining, and statistical analysis techniques to large health data sets to build new products and methodologies. Own responsibilities related to project and people leadership, including leading data scientists and analysts. Collaborate closely with a team of data scientists, product managers, and executives to discover and deliver product offerings from prototype to massive scale. Explore and find meaning in high volumes of data to evaluate data quality and extract actionable insights that will help drive business decisions; execute data querying, data cleansing, and experiment design. Rapidly build prototype product solutions, communicate findings, and iterate. Draw from prior experience and technical expertise to identify product improvements and inform testing plans; break overall objectives down into underlying problems that can be prioritized and solved. Work with product and engineering teams to improve and implement methods and features. Master core parts of the Crossix technology platform. Technologies include Spark, SQL, Python, R, AWS, and proprietary data mining software.

Apply machine learning, data mining, and statistical analysis techniques to large health data sets to build new products and methodologies. Own responsibilities related to project and people leadership, including leading data scientists and analysts. Collaborate closely with a team of data scientists, product managers, and executives to discover and deliver product offerings from prototype to massive scale. Explore and find meaning in high volumes of data to evaluate data quality and extract actionable insights that will help drive business decisions; execute data querying, data cleansing, and experiment design. Rapidly build prototype product solutions, communicate findings, and iterate. Draw from prior experience and technical expertise to identify product improvements and inform testing plans; break overall objectives down into underlying problems that can be prioritized and solved. Work with product and engineering teams to improve and implement methods and features. Master core parts of the Crossix technology platform. Technologies include Spark, SQL, Python, R, AWS, and proprietary data mining software.

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.

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.