Mid Level NYC Startup and Tech Jobs

25

Qualitative Researcher

Remesh
Greater NYC Area
15 hours ago
+14
We are looking to hire a senior qualitative researcher. The ideal candidate will have end-to-end experience in conducting and analyzing qualitative research for either market research or consulting agencies. The candidate will engage and partner with our clients, driving a strategic perspective to help our clients accomplish all of their internal and external service and channel initiatives. The information you collect and reports that you develop will help our clients make informed organizational, business, and political decisions.

Data Engineer

Peloton
Greater NYC Area
20 hours ago
+27
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.

Senior Data Engineer

Senior Analyst, Reverse Logistics

Supply Planner

Machine Learning Engineer

Load 1 more jobs5 jobs at Peloton

Machine Learning Engineer

Ocrolus
Greater NYC Area
1 day ago
+22
Work with Product and Operations to understand the business, and the different problem spaces at play. Identify areas where ML could achieve disproportionate lift. Coordinate with Operations to describe data collection needs, and prescribe collection methodology. Design solutions that employ modern ML techniques for the purpose of performing image classification, image localization/ segmentation, natural language processing, and more. Deliver solutions that are highly performant and lead to a higher degree of automation across the Company.

Senior Data Engineer (Platforms and Databases)

Software Engineer - Backend

Hyperscience
Greater NYC Area
1 day ago
+37
Wrapping ML modules in reusable application components, which can be integrated in different configurations depending on the specific customer’s needs. Leveraging your systems knowledge to deliver fast and scalable software, starting from the design of the system through development and extension. Designing easy-to-use programmer interfaces and tools that will be leveraged by other developers, including APIs for our clients' developers. Creatively solving problems even when the initial answer is unclear. Helping improve our code quality by writing unit tests and performing thorough code reviews. Assessing where the optimization efforts should go in order to utilize better the ML components and know-how of the company.

Senior Machine Learning Engineer

Hyperscience
Greater NYC Area
1 day ago
+37
We are focusing on understanding document images and extracting structured data. This naturally leads us to solve a number of problems in machine perception and natural language understanding. ML is at the core of what we do. We turn ML lab experiments into enterprise-ready AI solutions - and we’re looking for continuous learners to work on these efforts. This is an opportunity to work on the full lifecycle of an ML solution - you will research cutting edge techniques, implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. Furthermore, you’ll provide opportunities for these models to be automatically retrained and get smarter over time!

Senior Data Scientist

CB Insights
Greater NYC Area
1 day ago
+40
DUTIES: Analyze how data science projects impact the business and design solutions accordingly. Spearhead use of best practice in using various machine learning and NLP techniques and technologies. Identify root causes and develop solutions to improve robustness for the data science teams systems. Drive improvement of code quality and serve as an example to follow through code reviews. Deliver complex large-scoped features independently, including designing and implementing a solution that is running successfully in production. Develop data models to effectively gather information from disparate sources, analyze it, identify trends, extract useful information and surface the information onto our system platform. Develop end-to-end machine learning and NLP-based systems to extract structured information from unstructured data. Identify key areas for workflow improvements and develop tools to help reduce time for development of these systems. Share machine learning and NLP expertise via presentations and knowledge sharing sessions. Collect business intelligence data from available industry reports, public information, field reports, and purchased sources. Build standardized data products to extract business intelligence of companies and industries which supports data driven decisions. Document and disseminate information regarding tools and the developed systems. Utilize best practices for training, testing, and validation to build accurate and reliable models. EOE.

Senior Analyst, Fintech

Senior Software Engineer, Data

Intelligence Analyst, Healthcare

Data Engineer, Growth

Braze
Greater NYC Area
1 day ago
+31
Design, build, and manage efficient, fault-tolerant, and high-volume data pipelines. Build and maintain ETLs. Manage databases and tables. Design, build, and test solutions that touch every part of the data pipeline. Work with engineering to collect new data. Expose new data for data analysts and downstream users to use. Enable more advanced analytics for data analysts and other stakeholders. Collaborate with other teams at Braze and enable them with data.

Business Intelligence Analyst

Data Engineer, Marketing

Senior Business Analyst - Workday

Procore Technologies
Remote
4 days ago
+23
As a successful Senior Business Analyst, you have experience managing cross-functional projects in support of a complex People organization and enjoy working in a fast-paced, high-growth environment. Ideal candidates have strong knowledge of Workday business process architecture and are well versed in the end to end Hire to Retire value stream in a global enterprise setting. 

Business Intelligence Engineer

Reonomy
Greater NYC Area
5 days ago
+42
In this role, you'll collaborate with our Executive team and internal stakeholders to translate business questions into meaningful visualizations that will streamline metric reporting, surface actionable insights, and add business value. We are eager to find a self-starter who is excited by leading complex initiatives from end to end in a dynamic environment!

Senior Data Scientist, Data Science Operations

Squarespace
Greater NYC Area
5 days ago
+41
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.

Software Engineer - Data Engineering

Senior Software Engineer, Systems

Amperity
Greater NYC Area
1 week ago
Ingesting and cleaning large amounts of data daily and blending it with real-time events. Automatically stitching data together across disparate systems by training machine-learning models to build a probabilistic knowledge graph. Taking research algorithms and productionizing them for high-scale usage. Allowing users to perform complex, real-time queries across an aggregated view of their data. Publishing query result data to a diverse set of systems for client usage.

Manager, Enterprise Strategy

DoorDash
Greater NYC Area
1 week ago
+40
This role will uncover strategic insights, automate reporting and build internal tools and dashboards to empower the organization. You’ll work cross-functionally between our sales, merchant, operations, product, and analytics team to build the merchant foundation.

Software Engineer - Data Engineering

Addepar
Greater NYC Area
1 week ago
As a Software Engineer on FAMDI (Financial Asset Modeling & Market Data Integration), you will have the opportunity to cover a wide spectrum of engineering stacks at Addepar. You will be responsible for building data models, calculation engines for financial assets, and services that serves market data from various systems into Addepar. We strive to provide our clients with accurate and performant calculations based on their needs. You will be exposed to both client-facing financial data modeling, calculations and infrastructure of data intensive systems. We work very closely with product managers in full circle of product feature development from client research to final roll-out, and the engineering infrastructure team to develop and maintain a performant and scalable market data service.

Senior Data Engineer

Unqork
Greater NYC Area
1 week ago
+47
Build the data warehouse from ground up by evaluating and implementing best in class technologies. Architect and implement the ETL process to centralize the data in one location. Set up and manage business intelligence solutions as part of the data warehouse. Develop and deploy data platform tools that enable the analytics teams to move faster and build better products. Collaborate with analytics, engineering and dev ops team to establish the best practices in ETL deployment. Own and define what you work on and have a significant voice in decision making. Partner with clients’ data teams to give them secure access to their data.

Data Engineer

Cockroach Labs
Greater NYC Area
1 week ago
+41
We're looking for an experienced Data Engineer to join our team. We collect data on the usage of CockroachCloud and CockroachDB. This data will feed into our Product, Sales, and Support decisions. You will be the founding member of our Data Engineering team, where you will provide the future roadmap of data collection at Cockroach Labs

Lead Data Scientist

VTS
Greater NYC Area
1 week ago
+38
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.

Sr. Research Scientist, Computational Imaging

Snap Inc.
Greater NYC Area
1 week ago
+48
We’re looking for a Research Scientist to join Snap Inc! The mission of the lab is to create hardware and/or software approaches to computational imaging that enable new photographic functionalities and experiences that go beyond what is possible with traditional cameras and image processing methods. Our goal is to empower our users with new tools that allow them to communicate with each other more efficiently and in more creative ways than possible today. We are looking for a highly innovative, motivated, and self-directed researcher. Working from our New York, NY office, you work 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.

Research Scientist, Computational Imaging

Machine Learning Infrastructure Engineer

Machine Learning Product Engineer

Research Engineer, Machine Learning

HyperScience
Greater NYC Area
2 weeks ago
+37
Machine Learning (ML) is at the core of what we do. We turn ML lab experiments into enterprise-ready AI solutions - and we’re looking for continuous learners to work on these efforts. We are focusing on understanding document images and extracting structured and unstructured data. This naturally leads us to solve a number of problems in machine perception and natural language understanding. This is an opportunity to work on the full lifecycle of an ML solution - you will research cutting edge techniques (Computer Vision, Natural Language Processing, Meta Learning), implement them in a fast-growth AI startup environment, and ensure thеy are integrated in a reliable and scalable way to bring real value to customers. Furthermore, you’ll provide opportunities for these models to be automatically retrained and get smarter over time.

User Research Assistant

Major League Baseball
Greater NYC Area
2 weeks ago
+48
Collaborate with MLB’s researchers and product and business owners to identify areas of focus across key products, like MLB.com, At Bat for iOS and Android, Ballpark for iOS and Android, and MLB.TV. Gather qualitative data on baseball fans through a variety of research methodologies, including usability testing, contextual inquiries, card sorting, concept testing, cognitive walkthroughs, diary studies, surveys, heuristic evaluations, persona development, and task analyses. Partner with MLB’s data analysts to surface insights from product usage data. Create data visualizations and dashboards to communicate results to stakeholders. Work cross-functionally with design, product, content strategy, engineering and marketing.

Data Engineer

Celonis
Greater NYC Area
2 weeks ago
+31
As a data engineer in the global analytics team you lay the data foundation for both data driven decisions and initiatives to turn our own processes into extraordinary experiences. In this role, you build up data structures and identify the best strategy for the data collection to gather all relevant information.

Data + Analytics salaries in NYC

Job Title Average Salary Salary Range
Junior Business Analyst $64,000
Min: $64K
Max: $64K
Junior Data Analyst $72,000
Min: $55K
Max: $86K
Data Analyst $81,089
Min: $45K
Max: $130K
Business Analyst $88,941
Min: $12K
Max: $230K
Business Intelligence Analyst $92,560
Min: $55K
Max: $150K
Junior Data Scientist $94,000
Min: $94K
Max: $94K
Senior Business Analyst $104,597
Min: $74K
Max: $175K
Senior Data Analyst $106,547
Min: $72K
Max: $210K
Business Intelligence Developer $114,364
Min: $95K
Max: $131K
Analytics Manager $116,027
Min: $85K
Max: $170K
Data Engineer $123,911
Min: $75K
Max: $200K
Data Scientist $131,674
Min: $50K
Max: $200K
Business Intelligence Manager $133,250
Min: $115K
Max: $164K
Data Architect $144,586
Min: $85K
Max: $260K
Database Administrator $147,000
Min: $147K
Max: $147K
Senior Data Scientist $158,048
Min: $105K
Max: $200K
Senior Data Engineer $162,000
Min: $160K
Max: $164K
Director of Analytics $169,237
Min: $75K
Max: $245K
Data Engineering Manager $179,000
Min: $179K
Max: $179K
CIO (Chief Information Officer) $241,875
Min: $200K
Max: $400K

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