Top Data Science Jobs in New York City, NY
As a Senior Data Scientist at Duolingo, you will analyze data and communicate insights to drive strategic decision-making and business growth. You will collaborate with technical teams, develop analytical solutions, and mentor junior scientists while leading the implementation of data-driven changes to improve the app experience.
The Sr. Revenue Operations Analyst will enhance the efficiency of sales and marketing operations through data analysis and management of sales/CRM tools. Responsibilities include optimizing Salesforce, delivering scalable reporting, and collaborating across departments to drive productivity and revenue growth.
The Private Equity Data Scientist will use data to enhance investment decision-making processes, develop predictive models, and drive digital transformation initiatives. Responsibilities include collaborating with management teams, designing dashboards, monitoring company performance, and implementing data-driven strategies for operational improvement and growth.
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As a Senior Data Science Consultant, you will collaborate with clients to understand their data needs, analyze large datasets, build predictive models, and create data visualizations to derive insights. You will also contribute to internal projects and work closely with engineering teams to address business challenges through data-driven solutions.
The Data Science Consultant will work alongside clients and internal teams to understand data needs, analyze large datasets, build predictive models and machine-learning algorithms, and effectively communicate insights through various mediums. Responsibilities include collaborating with stakeholders to propose solutions to business challenges and contributing to internal Data Science projects.
The Data Science Manager will lead data science projects focused on marketing analytics, applying data science techniques to solve complex marketing challenges such as customer segmentation and predictive modeling. Responsibilities include managing project delivery, driving business development, engaging with clients, supporting marketing efforts, and mentoring team members.
The Data Scientist will develop and evaluate machine learning, NLP, and Generative AI models, working on data pipelines and model optimization. This role involves documentation, problem-solving, and ensuring adherence to best practices in ML model development, all while collaborating with the data science team.
The Credit Risk Analyst will perform data analysis across marketing channels to optimize credit risk and origination. They will utilize statistical tools for business strategies, manage data retrieval and analytics, forecast delinquency and losses, present findings, design experiments, and collaborate across various teams in the organization.
The Senior People Scientist will assist customers with survey design and analysis, performance management, and communication strategies. They will engage directly with clients to explain employee engagement metrics and methodologies, helping to empower and educate them on data insights.
The SEAL Research Scientist/Research Engineer will be focused on designing and implementing evaluation benchmarks, researching red teaming methods, and developing automated rating systems. The role emphasizes collaboration, technical research, and prototyping, targeting improvements in AI safety and evaluation processes.
The Senior Manager of Data Science will lead a team focusing on data-driven insights and product strategies in the AdTech sector, shaping business decisions and developing automated models for operational efficiency.
As a Data Analytics Specialist, you will conduct economic research and analyses, manage and analyze data, and generate visualizations to communicate findings. You'll collaborate with economists, produce public-facing research products, and be involved in the writing of impactful publications and presentations.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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