NYC Data Jobs
328

This is a new role in Platform, a key part of our new Product organization in Platform. You will build data sets, run analyses, share insights, and create analytics that enable our entire Platform organization to be more data-driven in how we plan work and measure value. Your insights and discoveries will lead to creation key initiatives and investments and will result in key outcomes visible across technology and business operations at Peloton.

Data Scientist, Analytics & Inference - New York or Remote
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

Senior Data Scientist, Analytics & Inference - New York or Remote
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

Data Analyst
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.

Build core components of data platform which will serve various types of consumers including but not limited to data science, engineers, product, qa.
Build various data ingestion and transformation job/s as and when they are needed.
Productionize our machine learning models and algorithms into data-driven feature MVPs that scale.
Leverage best practices in continuous integration and deployment to our cloud-based infrastructure.
Build scalable data services to bridge the gap between analytics and application space.
Optimize data access and consumption for our business and product colleagues.
Develop an understanding of key product, user, and business questions.

Senior Data Engineer, Data Platform
The engineering team at Chainalysis is looking for a Senior Data Engineer to focus on building scalable data tooling and data science infrastructure; help us democratize data access across our growing enterprise!
Our ideal candidate is comfortable working as an individual contributor in a fast-paced environment with a lot of ambiguity. You will be responsible for reducing friction between business teams hungry for data assets and our current

About Headway
Headway is building a new mental healthcare system, rewired for access and affordability.
We all know someone that has struggled with mental health - 1 in 4 people have a treatable mental health condition - but the overwhelming majority don’t get the care they need. The primary reason is cost - seventy percent of therapists don’t accept insurance, meaning paying for therapy is usually very, very expensive.
Headway is building the

Director of Data Science
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 to Golang and everything in between. Our learners have gone on to start companies, new jobs, and new lives thanks to what they’ve learned

Technical Lead, Data Engineering
As a Technical Lead on the Data Engineering team at TpT, you will be guiding the team’s development and delivery of data solutions to ensure that people and systems have access to reliable, high quality, curated data. You will lead the team’s work alongside Platform and Product Engineering teams, as well as business teams including Analytics, Product, Marketing, and Finance. You’ll work to build and improve our Data Warehouse, pipelines, and related infrastructure, using your ability to think systematically, abstractly, and empathetically. You’ll help push the Data Engineering team forward, advocating for best practices and mentoring more junior team members.

Data Analytics Lead - Product
As a fast growing company, we are ingesting and generating ever increasing amounts of data. We’re looking for a talented Data Analytics Lead. This person will touch all aspects of the business unit with a focus on product analytics, in order to provide actionable, data-driven insights that inform our key business decisions at scale.

Data Privacy Lead
Our security team defends the products, data and systems that power Chainalysis. We are committed to building a diverse team of builders, breakers and shapers to address complex security problems in a novel, exciting space.
A Senior Data Privacy Analyst is really good at taking in the inner workings of Chainalysis and harmonizing them with complex risk, governance, and compliance policies. They do this to both create a more secure and compliant

Principal Data Engineer
As a fast growing company, we are ingesting and generating ever increasing amounts of data. We’re looking for a talented Principal Data Engineer. This person will touch all aspects of the data operation, in particular, data infrastructure, to ensure a robust, efficient, and consistent foundation for enterprise consumption & application development.