Best Data Analyst & Data Science Jobs in NYC

Peloton is looking for a talented individual to join the Channel Optimization team within the broader Marketing Science function. The Senior Marketing Scientist will partner with our Lifecycle Marketing team to engage our leads and members in impactful and meaningful ways, and play a critical part in advancing our capabilities to personalize lifecycle communication and ultimately drive incremental sales across our Connected Fitness portfolio.

We are seeking a Senior Data Scientist to work on the Hinge recommender. Being in the online dating space, our recommender induces at once a social network and a two-sided marketplace, making it a tremendously complex and stimulating problem space. From assessing opportunities through analytical techniques to curating personalized recommendations with machine learning and other algorithms, your job will be to continuously take this engine apart and put it back together. In turn, your work will deeply influence how millions of Hinge members discover meaningful connections on the app.

As a fast growing company, we are ingesting and generating ever increasing amounts of data. We’re looking for a talented senior data scientist. This person will touch all aspects of the business, including marketing, product, customer experiences, operation and service delivery, and use advanced analytics to drive growth and efficiency for the business. 

1) the projection of customer lifetime value across multiple media platforms. 2) hypothesis testing relative to customer engagement, segmentation, and churn. 3) time series analyses of customer lifecycles and product features/development. Specifically, you will be responsible for the development and execution mathematical/statistical analyses as well as the implementation of operationalized algorithms and models.

Crossix is seeking intellectually curious, resourceful, and collaborative Principal Data Scientists to join the Veeva Data Cloud team. This is an excellent opportunity to help us build the technology and data science products that power Veeva Data Cloud and be at the forefront of innovation in the healthcare technology space.

Crossix is seeking intellectually curious, resourceful, and collaborative Senior Data Scientists to join the Veeva Data Cloud team. This is an excellent opportunity to help us build the technology and data science products that power Veeva Data Cloud and be at the forefront of innovation in the healthcare technology space.

Work closely with our product team to understand funnel drop off and come up with product ideas. Work closely with the marketing team to optimize our acquisition funnel. Present conclusions to the executive team that can impact the strategic direction of the company. Build a lead scoring model to help our customer support team prioritize. Model the time-lag of conversions using fun math like Gamma distributions. Design an experiment to understand the causal impact of an outbound phone call on conversion rates. Build web scrapers to track price data for other mortgage lenders. Migrate our data warehouse to Redshift. Work on our underwriting engine, which turns out to be NP-complete and can be posed as a mixed integer programming problem. Transcribe all our phone calls using speech-to-text and figure out ways to optimize customer support.

Hello, World! Codecademy has helped tens of millions of learners upgrade their careers, build meaningful projects and gain confidence in their skills with engaging, accessible, and flexible education on programming and data skills. We provide hands-on interactive lessons ranging from Python to R to Javascript and everything in between. Our learners have gone on to start companies, new jobs, and new lives thanks to what they’ve learned with

Peloton is looking for a talented individual to join the Channel Optimization team within the broader Marketing Science function. This person will partner with our Digital App acquisition marketing team to play a critical part in expanding our portfolio of Connected Fitness and Digital products efficiently and effectively. 

Peloton is looking for a Data Engineer to build our Data Warehouse and Data Pipelines. You will work with multiple teams of passionate and skilled data engineers, architects, and analysts responsible for building batch and streaming data pipelines that process terabytes of data daily and support all of the analytics, business intelligence, data science and reporting data needs across the organization.

This person will be a key technical member of analytical projects from the beginning stages of requirements gathering all the way through final product delivery. Thus, this role will require a person with strong analytics experience who is comfortable working with various tools and methodologies. This will be a hands-on technical role, which will require the ability to assess gaps in functionality and ensure they are corrected to suit the business needs. The Analyst will be comfortable with the connection and analysis of large, disparate data sets from a variety of sources in order to better understand viewers, increase consumer engagement, optimise ad placement, and improve marketing. This person will need both creativity and attention to detail as they envision and build data solutions that change the face of the TV industry.

LeafLink is seeking a Data Engineer to join our New York team.  As a member of the data engineering and analytics team, you will be in a position to have a direct impact on how LeafLink harnesses its first party data from various sources to generate business value. You are deeply passionate about organizing and managing data. You believe and understand the value that powerful reporting and analytics can drive for the business. The ideal candidate will have a structured and detail-oriented approach to solving problems using a diverse technical toolkit.  The ideal candidate should be personable, efficient, rooted in an experimental and fact-based mindset. Collaborating cross-functionally, communicating regular updates, leading projects should come easily to the candidate.