NYC Tech Jobs and Startup Jobs

47

Data Engineer

Urbint
Greater NYC Area
14 hours ago
+44
At Urbint, you will collaborate within a cross functional team of other software engineers, product designers, machine learning engineers and product managers to architect, create and maintain custom data pipelines, data lake(s) and a data warehouse to feed our customer facing applications and internal experimentation and modeling teams. Our data sources range from large, high security enterprise databases and storage services hosted by our customers to disparate open data from government organizations to proprietary third party aggregators and auditability and security are very important to their results. You will be working to solve direct customer needs and finding common abstractions to apply and guide the future of information at data driven organization.

Associate Optimization Manager

<intent>
Greater NYC Area
2 days ago
+54
The Associate Optimization Manager will be responsible for managing and executing the end-to-end optimization process for new partners within our target team -- ensuring optimal integration within Google Ads, Facebook Ads, and various DSPs, suggesting test concepts and prioritization across SEM, Display, Retargeting, and Prospecting campaigns, pushing for partner approvals, ongoing reporting, and communication of results and insights out to all stakeholders both internal and external. 

Data Infrastructure Engineer

Kensho Technologies
Greater NYC Area
3 days ago
+22
As a Data Engineer on the Knowledge Team, you will be responsible for architecting, implementing, and maintaining scalable data infrastructure and services to power our next-generation suite of products. Our Knowledge Team is responsible for providing robust, resilient, and scalable data infrastructure and services to meet the growing needs of Kensho’s products and services. 

Analytics Associate

Policygenius
Greater NYC Area
3 days ago
+37
Partner with cross-functional teams to address business questions and diagnose problems; apply both creative and rigorous analyses; and drive insights into actionable business decisions. Work across the entire organization to help define, set, and track KPIs and OKRs for success. Work with the operations team to drive efficiencies and continuous improvement. Work with the marketing team to support a world class growth engine. Work with the engineering team to develop algorithms that continue to drive fintech innovation in the insurance industry. Work with finance to accurately track and analyze the financial health of the company. Participate in company strategy development and operational capacity allocations.

Platform Engineering Manager

Site Reliability Engineer

Engineering Manager - Growth

Senior/Staff Software Engineer - Full Stack/Backend

Engineering Manager - Mobile

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Manager of Clinical Research Navigation

Tempus
Greater NYC Area
4 days ago
+13
Serve as an essential link between clinical laboratory, clinical research team and treating physicians. Utilize data to identify and pre-screen oncology clinical research candidates. Responsible for outreach to applicable oncologists and care teams, informing of patient/trial opportunities. Responsible for tracking all matched oncology patients. Liaise with internal operations, physicians and industry/clinical research leaders .

Senior Software Engineer, Data

CB Insights
Greater NYC Area
4 days ago
+40
Develop features for our next generation market intelligence platform on a small Agile team. Consistently and frequently deliver solutions that are well-engineered, maintainable and tested within the agreed upon time frame. Design and build efficient ETL infrastructures for unstructured textual data sets and various other types of data sources. Take a prototype of a data product built with NLP and/or machine learning models and make it run reliably in production. Design and implement internal tools to make this data processing infrastructure easily accessible to and usable by data scientists and software developers. Participate in code reviews and sprint planning, help identify opportunities, work through challenges and share knowledge with colleagues. Collaborate with the product team to understand business requirements.

Business Strategy Manager

Backend Engineer

Intelligence Analyst, Industrials

Multilingual Data Associate

DevOps Manager, Golang

Technical Lead, Business Intelligence

Intelligence Analyst, Healthcare

Intelligence Unit, CPG & Retail Associate

Intelligence Associate - Emerging Technology

Load 6 more jobs10 jobs at CB Insights

Sr. Data Scientist

Electric
Greater NYC Area
6 days ago
+28
Partner with the Operations team to deeply understand the important drivers of our business, using thoughtful data analysis to inform key decisions. Identify opportunities to improve our product by applying the tools and principles of statistics and/or machine learning. Build working prototypes to prove out the potential value of your ideas. Collaborate with the broader Engineering team to deliver production-ready, data-driven software. Leverage various data sources at our disposal to inform the prioritization of our product roadmap, and measure (and optimize) the success of new features. Mentor more junior team members, and share data insights and concepts with the broader team. Take on other strategic, technical, or data science projects to help Electric grow quickly and efficiently while delighting our customers.

Senior Data Engineer

Urbint
Greater NYC Area
1 week ago
+44
At Urbint, you will collaborate within a cross functional team of other software engineers, product designers, machine learning engineers and product managers to architect, create and maintain custom data pipelines, data lake(s) and a data warehouse to feed our customer facing applications and internal experimentation and modeling teams. Our data sources range from large, high security enterprise databases and storage services hosted by our customers to disparate open data from government organizations to proprietary third party aggregators and auditability and security are very important to their results. You will be working to solve direct customer needs and finding common abstractions to apply and guide the future of information at data driven organization.

Data Scientist

Urbint
Greater NYC Area
1 week ago
+44
We are seeking a Senior Data Scientist to solve some of our hardest technical challenges. You will work closely with our clients, fellow engineers, deployment strategists, and others across the company to implement projects from start to finish, participating in data discovery, analysis, algorithm development, feature extraction, and delivery of results. You have a real passion for using dirty, disparate data to optimize business processes, and highlight relevant metrics and insightful stories. You prefer asking the right question as opposed to offering the right answer. You appreciate ambiguity and are comfortable guiding others while obsessing over details.

Data Scientist

<intent>
Greater NYC Area
1 week ago
+54
As a member of our Data Science team, you will use your quantitative expertise to identify new areas of research and optimization, and then see those ideas through to production. Data Science is a fundamental contributor to Intent’s success - your work will have a direct and tangible impact on the business. There are no typical projects, but a workflow might involve performing research and analysis against petabytes of historical data using our collection of large-scale analytics tools like Spark, Snowflake, and RedShift, building prototypes using mostly Scala or another functional language, pairing with engineers on the Modeling and Prediction team to harden and deploy the functionality, and running live tests to monitor the results.

Director of Data

Ocrolus
Greater NYC Area
1 week ago
+22
You live in and love data, and have a background as a hands on Data Analyst, Data Scientist and People Manager. Your strengths include being a " subject mater expert" and "player coach" in all things Data, being strong in statistical analysis, and skilled in analyzing & reporting. You strive to continuously improve, gleaming insights from data which you effectively communicate effecting growth and change throughout the business on all levels. You will be working with both internal and external stakeholders to provide the data the reports and data products that help bring Ocrolus to the next level.

Operations Analyst

Machine Learning Engineer

Data Analyst

Data Engineer

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Data Engineer

Arthur AI
Greater NYC Area
1 week ago
+16
Design & build a high-throughput capabilities with particular emphasis on data engineering components, in close coordination with frontend & API engineers. Work closely with the SRE team to ensure that data pipelines are resilient, performant, well-monitored, and scalable for both our SaaS and on-prem product offerings. Exhibit continuous curiosity in understanding emerging technology that could improve our platform. Mentor teammates on best data engineering practices.

Tech Lead - Data (Healthtech)

Imagen Technologies
Greater NYC Area
1 week ago
+23
We’re looking for a staff-level Tech Lead to shape the technical vision and implementation of data systems that are critical to building and testing our AI-based products. This role is a great fit for candidates with several years of software engineering experience delivering and building on data pipelines, warehouses, and analytics tools. Our ideal teammate is someone who wants to build technology that will directly save patient lives. You are focused on impact over elegance. You will always hold the patient above all else. You are highly technical and have a track record of making impactful contributions on technically challenging problems.

Tech Lead - Full Stack Web Products (Healthtech)

Imagen Technologies
Greater NYC Area
1 week ago
+23
Hands-on, high-impact, high-leverage technical contribution. Lead the technical development of creative solutions that will ultimately save patient lives -- guide and review roadmaps, designs, plans and estimates, and development for our most critical web products. Be a partner to product, leading technical decisions across cross functional teams that will include software engineers, machine learning researchers, clinicians, and operations analysts to ensure we are building the right product. Champion software development practices that ensure patient safety. Be a technical mentor to both our machine learning research engineers and software engineers ensuring we are holding high standards and building excellent medical devices.

Engineering Manager (Backend)

Electric
Greater NYC Area
1 week ago
+28
Lead a team of engineers by setting expectations and goals, providing guidance and actionable feedback. Support your team’s growth and career development goals through active mentorship and coaching. Own, commit and drive accountability for your team’s roadmap and milestones. Align with the rest of the engineering management team and implement effective engineering processes and policies. Anticipate, identify and clear roadblocks for the team. Provide clear direction and effective decision making where necessary. Represent the team to product & engineering groups internally and externally. Build a diverse team while fostering a collaborative and inclusive environment.

Senior Software Engineer - Data

Imagen Technologies
Greater NYC Area
1 week ago
+23
We're looking for a Senior Data Engineer to help solve challenges in building petabyte scale image and data processing pipelines. Our ideal teammate is someone who wants to build technology that will directly save patient lives. You are focused on impact over elegance. You will always hold the patient above all else. You are highly technical and have a track record of making impactful contributions on technically challenging problems.

Sr. Security Engineer

HyperScience
Greater NYC Area
1 week ago
+37
We are looking for a security engineer who is excited for the challenge in building a secure product from the ground up. As a member of a growing team in a fast-moving startup, this individual will have the opportunity to drive key cornerstones of our product security. If you love to code, have unique ideas in solving security issues, and are motivated by the challenge of securing a product relied on by some of the world’s largest companies, this role is for you.

Software Engineer - Backend

HyperScience
Greater NYC Area
1 week 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.

Machine Learning Engineer

HyperScience
Greater NYC Area
1 week 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!

Data Engineer

Reonomy
Greater NYC Area
1 week ago
+42
As a Data Engineer at Reonomy, you will tackle hard challenges everyday! We are working to build a data infrastructure that can manage the complexities of commercial real estate as well as scale to support the disparate datasets required to build a first-of-its-kind data product. Using a mix of the latest-and-greatest tech as well as some proven tools, we are pioneering the use of data discovery, pipelining, extraction, importation, sanitization, and visualization of massive datasets to an industry that is eager to utilize an Enterprise CRE SaaS solution like ours in their daily workflow. We take on tough problems in machine learning and scalable data processing using technologies like Scala, Spark, Postgres, ElasticSearch and Docker.

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