Top Data Science Jobs in NYC
Seeking a Data Science Senior Manager - Commercial Analytics to lead the Commercial Analytics team and manage a team of Data Scientists. Responsibilities include enabling clients to extract maximum value from Cedar's products, building trust, and empowering clients to leverage features effectively.
Hinge is seeking an experienced leader to lead the Data Science and Analytics team that supports the Growth Product Group. Responsibilities include managing a team of data scientists and analysts, providing insights for data-driven decision making, and collaborating with cross-functional teams.
As a Senior Data Scientist at Yext, you will shape algorithms to develop essential new capabilities and features for Yext's products. You will work collaboratively with cross-team partners in software engineering and product management to make pragmatic decisions about the design, training, and deployment of machine learning models. You will solve data science problems end-to-end and effectively communicate quantitative results to various audiences. A background in natural language processing, machine learning, and Python is required.
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The Senior Data Scientist NLP and GenAI role involves designing and implementing NLP algorithms, language models, and leading advanced analytics projects. Responsibilities include preprocessing textual data, training models for sentiment analysis, named entity recognition, and promoting ethical use of NLP technologies. Required qualifications include experience in NLP and expertise in machine learning techniques. Additional skills include leadership, problem-solving, and agile learning. The salary range for this position is $110,000 to $140,000 per year, eligible for short-term incentive compensation and comprehensive benefits at MetLife.
The Senior Instructional Designer, Data Science is responsible for designing and authoring educational content, creating educational products, and ensuring that learner outcomes can be successfully achieved. Responsibilities include leading content strategy, designing new content, mentoring authors, collaborating with teams, and staying updated on industry standards.
Processing, cleansing, and analyzing data sets to extract insights using machine learning techniques. Collaborating with stakeholders to provide data-driven solutions. Enhancing data collection procedures and predicting future trends for proactive decision-making.
The Enterprise Data Services Specialist is responsible for migrating legacy data, providing guidance on best practices, and driving implementation progress. They work closely with the Enterprise Onboarding Team and customer IT resources to ensure efficient data migrations from legacy client platforms. This role also involves managing data services cases, troubleshooting import errors, and collaborating with internal resources to champion data services requirements.
Building data-driven algorithms to rank and recommend doctors based on performance and healthcare economics.
Seeking a Senior Manager of Data Science to develop a world-class team, build stakeholder relationships, and drive growth using data insights. Responsibilities include driving results, breaking down projects, resilience, and coaching. Required skills include 3+ years of team management, results-driven mindset, adaptability, technical proficiency in Python and SQL, analytical methodologies, statistics, product metrics, and passion for NLP.
As a Data Scientist on the Growth Data Science team at Notion, you will collaborate with the Monetization team to accelerate self-serve revenue generation. Your responsibilities include analyzing user interactions with Notion, defining problems for influential projects, designing experiments to evaluate feature success, and influencing product roadmaps through data-driven insights.
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