NYC Tech Jobs and Startup Jobs

10

Data Scientist

Peloton
Greater NYC Area
38 minutes ago
+27
As a data scientist, you’ll be responsible for diving into our data lake, uncovering the latest interesting insights, and visualizing them in dazzling ways. You’ll work with the Peloton App team to understand behavior during our user journey and develop data-driven recommendations with a focus on measurable results. As part of the Data Science team you’ll work with data scientists and engineers that interface with the entire company, cross-pollinating analytic and business insights to the benefit of all Peloton members and employees.

Senior Data Scientist

Transfix
Greater NYC Area
12 hours ago
+26
As a Senior Data Scientist, you will implement machine learning models into critical business processes, forecast industry trends, and build data pipelines. The Data Science team works closely with engineers, pricing analysts, and the business intelligence team to complement qualitative knowledge of the freight industry with rigor and quantitative insights. We’re currently living in AWS infrastructure including SageMaker and Redshift. You will be expected to autonomously run your own projects, drive business impact, and be a domain expert for teams across the company.

Retail Analytics Leader

Betterment
Greater NYC Area
4 days ago
+46
We are looking for an experienced analytics leader to direct these efforts. This person will be responsible for managing and mentoring a team of product analysts and data scientists embedded within our Retail product organization. This individual will be a core member of the Retail product leadership team, working closely with product, engineering and design partners to drive strategy, measure performance from the line of business to the feature level, and ensure the team is set up for success with the right data and tools. 

Data Scientist

Analytical Flavor Systems
Greater NYC Area
6 days ago
+14
Build analyses and features such as data-filtering, reviewer experience estimation, flaw classification, and quality prediction directly into our applications. You will use data science to build knowledge gain and actionable insight; the tools you build will help food & beverage producers make better, more consistent products. Implement a variety of techniques from simple outlier detection to customized, high-dimensional distance metrics, infinite dimensional linear transformations, and topological homology.

Senior Engineer, Data Science Operations

Squarespace
Greater NYC Area
1 week ago
+41
Advise and enhance data science teams, focusing on software-related concern. Design, develop, refactor, package, harden, and deploy software products. Promote the use of internally built and externally sourced tools through presentation, documentation, and cross-team collaboration. Develop tools and automate workflows. Guide the Data Science Team's adoption of new software and frameworks. Translate unstructured inefficiencies and pain points into concrete business and technical requirements. Identify and implement development metrics and operational metrics; assist teams in setting and achieving goals to improve those metrics. Build data pipelines to make key datasets available to both data scientists and business intelligence analysts throughout the company.

Data Scientist

Quartet Health
Greater NYC Area
2 weeks ago
+47
We are looking for talented data scientists with a passion for addressing business needs through data modeling and analysis to join our team. As an individual contributor on this team, you will work side-by-side with senior members of the team and internal partners from across the organization. This position requires strong problem-solving, analytical and communication skills; experience with multitasking and prioritizing in a fast-paced environment; and the tenacity to execute against deliverables in a timely, high-quality fashion.

Research Scientist, Computational Imaging

Snap Inc.
Greater NYC Area
2 weeks ago
+48
We are looking for a highly innovative, motivated, and self-directed researcher. Working closely with other researchers and our engineering teams, you will tackle unique technical challenges such as developing techniques to enhance existing products, create new products, deploying algorithms to handle our scale, and improving the experience on Snapchat for millions of people every day. In addition to impacting the company via products, researchers are encouraged to publish their results in top-tier journals and conferences.

Senior Data Scientist

Alloy
Greater NYC Area
2 weeks ago
+19
Take ownership of our modeling efforts and how modeling happens at Alloy, including how we build, train, deploy and monitor models that help us distinguish 'good' applications from fraud. Ensure that live production models are served with high uptime/reliability and extremely low latency ( Articulate a feature engineering strategy for extracting signal from varied inputs and partner with our data engineering team to build a reliable pipeline to generate, store and use new features in production. Expand the range of outcomes that we model, expanding beyond basic two-category classification to more robust models that identify particular fraud modalities. Deploy time-series models that score streams of transaction data and integrate with our onboarding models to provide a real-time view of risk. Hire junior data scientists and build out the data science vertical inside the data team.

Data Scientist

Ohi
Greater NYC Area
3 weeks ago
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.

Data Engineer

Rocketrip
Greater NYC Area
4 months ago
We are seeking a Data Engineer who can operate within our engineering organization and help take our data strategy to the next level. The Data Engineer will be able to design, code and provide architecture solutions for the team, including but not limited to ETL, data warehousing, and data integration. The right candidate for this role is someone who is passionate about technology and interacting with product owners, thrives in ambiguity, and is focused on delivering exceptional results with great teamwork skills in a scrappy, startup environment. The candidate will have the opportunity to influence and interact with fellow engineers beyond their team. 

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