NYC Tech Jobs and Startup Jobs

6

Senior Data Scientist - Data Products

Rent the Runway
Greater NYC Area
2 days ago
+45
Rent the Runway has a complex data ecosystem that spans web and infrastructure logs, transactions and recurring subscription behavior, and tracking each inventory unit and throughput of our home grown reverse logistics rental operations. Data systems power critical business decisions - from inventory assortment to operational efficacy, from marketing actions to personalized website features and customer experience enhancements - and we want to scale the data science function across all these vectors.

Senior Data Scientist, Operations Analytics

Data Engineer

CTRL Global
Greater NYC Area
1 week ago
– Draw from a broad background of data-mining techniques in mathematics, statistics, information technology, machine learning, data engineering, the design of experiments, visualization, and text mining to discover insightful patterns in data. – Work with the team and ensure availability of all relevant datasets and thorough understanding and exploration of data; create documentation on the entire process. – Build out and maintain data pipelines. – Carrying out statistical and mathematical modeling, create forecasting models. – Performance metric - delivery on time; codebase moving to production; operational performance trends.

Senior Data Scientist

Transfix
Greater NYC Area
1 week 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.

Data Scientist

Feather
Greater NYC Area
2 weeks ago
+33
Use analytical thinking, mathematics, and data manipulation to build models that can be used across various functions within Feather’s operations, engineering, and finance teams to make better and faster decisions. Build scalable practices to create a solid foundation for Feather’s backend data structure. Clearly define analytical business problems and create innovative solutions for them by facilitating the application of cutting edge techniques. Create a foundation for a data team and build the team over time by developing KPIs for the function and job descriptions for additional data hires. Transform large sets of raw data into easily consumable reports and models to be read by technical and non-technical users. Create dashboards and reports to empower teams (within Looker or excel)..

Data Scientist

Urbint
Greater NYC Area
3 weeks 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.

Senior Data Scientist

Feather
Greater NYC Area
3 weeks ago
+33
Use analytical thinking, mathematics, and data manipulation to build models that can be used across various functions within Feather’s operations, engineering, and finance teams to make better and faster decisions. Build scalable practices to create a solid foundation for Feather’s backend data structure. Clearly define analytical business problems and create innovative solutions for them by facilitating the application of cutting edge techniques. Create a foundation for a data team and build the team over time by developing KPIs for the function and job descriptions for additional data hires. Transform large sets of raw data into easily consumable reports and models to be read by technical and non-technical users. Create dashboards and reports to empower teams (within Looker or excel).

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