Best Data Analyst & Data Science Jobs in NYC

Ad hoc investigations. Algorithm development. Research for case studies and white papers on fraud patterns. Creating and maintaining custom dashboards. Contribute to analysis toolkits.

Work closely with our product team to understand funnel drop off and come up with product ideas. Work closely with the marketing team to optimize our acquisition funnel. Present conclusions to the executive team that can impact the strategic direction of the company. Build a lead scoring model to help our customer support team prioritize. Model the time-lag of conversions using fun math like Gamma distributions. Design an experiment to understand the causal impact of an outbound phone call on conversion rates. Build web scrapers to track price data for other mortgage lenders. Migrate our data warehouse to Redshift. Work on our underwriting engine, which turns out to be NP-complete and can be posed as a mixed integer programming problem. Transcribe all our phone calls using speech-to-text and figure out ways to optimize customer support.

Crossix is seeking intellectually curious, resourceful, and collaborative Principal Data Scientists to join the Veeva Data Cloud team. This is an excellent opportunity to help us build the technology and data science products that power Veeva Data Cloud and be at the forefront of innovation in the healthcare technology space.

Crossix is seeking intellectually curious, resourceful, and collaborative Senior Data Scientists to join the Veeva Data Cloud team. This is an excellent opportunity to help us build the technology and data science products that power Veeva Data Cloud and be at the forefront of innovation in the healthcare technology space.

Take complicated problems and translate them into data problems that can be solved using algorithms. Mine and connect many large and disparate data sources using our databases and SQL and other unstructured data repositories. Develop machine learning based applications using supervised and unsupervised models using R or Python that optimize and personalize customer experiences or reduce manual effort on our internal teams through automated decision making. Utilize deep learning techniques to solve problems related to natural language processing, computer vision and prediction. Partner with data engineering to take your model from science experiment to deployed infrastructure. Develop experiments to understand model impact.

As a Senior Data Scientist you will be responsible for finding valuable insights related to our new and rapidly growing TpT School Access subscription product. You will work with product managers, business managers, data analysts, and data engineers across Engineering, Product, Sales and Marketing, and you’ll use research techniques such as data visualization, statistical modeling, and machine learning to explore data, test hypotheses, identify underlying causes and patterns, and find the best ways to turn these insights into better decisions and product improvements. 

Design data pipelines utilizing ETL tools, event driven software or cloud functions and other streaming software.  Work directly with stakeholders to ingest new sources of data. Continue to develop and build out our analytical data model for self service.  Partner with data scientists to bring our machine learning concepts to production. Develop internal data science specific tooling for solutions such as A/B testing, learning sharing and analysis repositories and machine learning components.  Ensure ultimate reliability in data pipelines and enforce data governance, security and protection of our customer’s information. 

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.

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.

As the manager for Data Engineering and Data Science, you will scale the teams, drive their roadmaps, help establish their philosophy, and manage their relationships with other teams. Our data teams work closely with the Analytics, Product, Marketing, and Engineering teams. Data Engineering focuses on enabling teams to be data-driven by ensuring reliable, efficient, accurate, and curated data. Data Science uses research techniques such as statistical modeling and machine learning to explore data, test hypotheses, identify underlying causes and patterns, and find the best ways to turn these insights into product improvements.

As the Healthcare Data Terminologist on Veeva Data Cloud, you will help drive the design, build and execution of terminology libraries from the ground up for our new suite of Health Data Products. You’ll focus on understanding and improving existing sources, curating new assets, and identifying gaps in our data to drive continuous improvement. You are passionate about healthcare data and terminologies, have a master’s degree or equivalent work experience in healthcare informatics, public health, and/or hands-on experience with organizing, curating, and managing health data ontologies and mappings. Ideally, you also have experience working with medication data, ontology management systems, and working in a corporate setting.

We are looking for a Data Analyst with in-depth data analytics expertise and a desire to partner closely with accounting & finance stakeholders to join Peloton’s Finance Transformation Team. As part of the Finance Transformation Team, you will identify, design and build solutions that enable strategic initiatives and operational improvements. As a dedicated subset of the broader Accounting & Finance team, you will help drive forward initiatives to improve the quality of our financial data and efficiency of the accounting close process, as well as design technology-enabled solutions to support Peloton’s evolving business at scale. As the Data Analyst, you will work directly with Accounting & Finance stakeholders to understand their needs, identify opportunities to optimize existing processes, and leverage your data and analytics skills to provide better visibility into financial data and develop insights to enable leadership to make effective, data-driven decisions. We are looking for a self-motivated, agile team-player who enjoys working in a fast-paced environment and is willing to challenge existing solutions. The ideal candidate possesses a strong analytical toolset, has a passion for difficult challenges and a willingness to prototype and rapidly iterate, working with cross-functional teams to drive meaningful impact to the business.