Top Data Science Jobs in NYC
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The Principal Data Scientist will be the primary analytics partner to the Community & Learning team at Atlassian. They will influence strategy, set and report on department level goals, and lead high impact projects. The ideal candidate has 8+ years of experience in Data Science or related fields, expertise in statistical concepts and data science programming languages, and a high bar for output quality.
As a Senior Applied Research Scientist at ServiceNow, you will play a major role in building next-generation Large Language Models for Enterprise Language Generation. You will use your AI/ML expertise to solve real-world challenges and collaborate with a team to deliver high-quality solutions.
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.
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Principal Data Scientist role at Capital One focusing on building machine learning models for US Card Acquisitions team. Responsibilities include partnering with cross-functional teams, leveraging technologies like Python and AWS, building machine learning models, and translating complex work into business goals. Ideal candidate is customer-first, innovative, creative, technical, statistically-minded, and a data guru.
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.
Build and enhance data products that inform pricing strategy and reinforce the value proposition of mental health programs.
Lead Data Scientist role at GoodRx focusing on data science projects related to consumer pricing, incentives, and insurance. Responsible for building forecasting and optimization systems that impact pricing strategies. Requires 6+ years of data science experience with a strong technical background in machine learning and model deployment.
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.
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