Mid Level NYC Startup and Tech Jobs

12

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 - 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.

Data Analyst II

Policygenius
Greater NYC Area
1 week ago
+37
Partner with a business stakeholder or product team to help move their analytical strategy forward. Create visualizations intended to monitor business performance or uncover interesting trends to investigate. Lead the test and learn process we use for exploratory data analysis and A/B testing. This includes helping PM’s decide on testing strategy, generating baselines, approximating sample sizes and performing analysis of test results . Help our teams move beyond visualizations and utilize inferential and causal modeling to uncover deeper trends from a quantitative perspective, and design and test interventions. Structure and lead our strategic framework from an analytical perspective on your team. Partner with data engineering on new data pipelines and ingestion requests as well as advise on data model improvements . Wrangle and stitch together many disparate data sources and uncover deep insights to drive your team forward. Mentor data analyst team members and learn from data scientists to advance into predictive and algorithmic solutions.

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.

M&A and Activism Analyst

Reorg
Greater NYC Area
2 weeks ago
+39
Manage Reorg‘s M&A and activism data and drive client adoption. Contribute to editorial output via data analysis and introducing new ideas about data presentation and visualization. Take charge of a corporate governance-related analysis that pulls data from proxy statements, registers and bylaws published twice a week. Partner with data science to develop an activism database leveraging machine learning and promote its understanding internally and externally. Bring new ideas to the table whether it may be new database worth building or new content worth publishing. Develop a M&A data roadmap based on client meetings and feedback analysis. Liaise with senior leaders across the organization to improve and promote the data roadmap, which includes frequent meetings with sales, marketing, product and tech reps, as well as conversations with subscribers.

Data Engineer

DriveWealth
Greater NYC Area
2 weeks ago
Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the Data Engineering ecosystem to architect and implement data warehousing solutions. You will analyze business and technology workflows and problems to design reliable, scalable data storage and analytics systems that enable the business to scale. Play a leading role in building systems and datasets using software engineering best practices, data management fundamentals, and data storage principles, Analyze source systems, define underlying data sources and transformation requirements, design suitable data models and document the design/specifications.

Analytics Manager

Prizeout
Greater NYC Area
3 weeks ago
+17
As we build out our team, we are looking for a member to head up our analytics team.  This work will include creating models and frameworks, uncovering insights otherwise buried in our raw data, and helping both Product and Tech design and measure solutions. You will be building out this function to scale with the company as we scale.

Senior Data Analyst

Gemini
Greater NYC Area
3 weeks ago
+29
The Financial Operations and Accounting Teams at Gemini are thought leaders in the digital asset accounting and reconciliation space. Our mandate is to bridge the traditional world of finance with the innovation of cryptocurrency products, providing our clients with a best-in-class financial institution experience.

Knowledge Base Manager

Haven Life
Remote
3 weeks ago
+46
We're a MassMutual-owned company with a new product that started in 2016. We are looking for someone to enhance and revamp our virtual knowledge base so customers will actively seek our online, self-directed, learning portal because of the immense value the portal provides. To create such an environment, you will need to fully understand what drives customer behavior to self-serve, the customer experience, frequently asked questions and common issues. Although you don’t need the technical knowledge depth of a Developer Support Engineer, you need to be tech-savvy and interested in the DevOps world and jargon. You also need to be creative, proactive, have a bunch of ideas about how to improve our KB infrastructure and architecture and excited about the purpose of content serving knowledge. An output of your creativity and content creation/curation should be an active reduction in customer support center calls and an environment that shows active engagement.

Senior Data Scientist

Prizeout
Greater NYC Area
3 weeks ago
+17
As we build out our development team, we're constantly looking for people who can take our user recommendation and personalization to the next level. We have a unique opportunity to provide users with an enhanced experience by showing them offers and deals most relevant to their interests, so optimizing these recommendations is the key performance indication for success in this role. This means working intelligently to uncover insights otherwise buried in our raw data and helping both Product and Tech to build solutions in line with these findings to increase conversion and enhance the user experience.

Volume Management, Business Insights Manager

Better.com
Greater NYC Area
2 months ago
+23
As the Volume Management, Business Insights Manager, you will be responsible for optimizing our decision making skills across different product lines & business units. You will help create  a dashboard to help with all things data & reporting. You will also be instrumental in ensuring our metrics are accurate and up to date as well as be a key team member in charge of updating the executive-level team with synthesized trend reports.

Data Engineer

Citadel
Greater NYC Area
2 months ago
At Citadel, data is the core of the investment process. Data Engineers architect and build our data platforms which drive how we source, enrich, and store data that integrates into the investment process. These Data Engineers own the entire data pipeline starting with how we ingest data from the outside world, transforming that information into actionable insights, and ultimately designing the interfaces and APIs that our investment professionals and quantitative researchers use to monetize ideas. Throughout the process, our Data Engineers partner with top investment professionals and data scientists to design systems that solve our most critical problems and answer the most challenging questions in finance.

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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