Top Data Science Jobs in New York City, NY
The Outcomes Research Data Scientist will analyze Tempus data for real-world evidence (RWE) studies, interpret results, communicate findings, collaborate with various teams to enhance data quality, and ensure compliance with regulations. Candidates should possess experience in oncology, biostatistics, and handling observational healthcare data.
As a Revenue Operations Analyst II, you will enhance merchant lifecycle processes through automation, manage cross-functional initiatives, and develop scalable reporting solutions. You will also collaborate with various teams to improve Salesforce features and support growing revenue teams with training and resources.
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As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
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As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
The Research Scientist, Personal Loans role involves deploying and training machine learning models in a fast-paced environment. You will work within a team that values curiosity and teamwork, focusing on building models that evaluate applicant risk for personal loans and contribute to the company's success.
The Data Scientist will translate business goals into effective data solutions, manage end-to-end project processes including development, testing, deployment, and optimization, and collaborate with cross-functional teams to drive client value delivery.
The Data Science Consultant will work with stakeholders to translate business challenges into technical solutions using applied mathematics and statistics. Responsibilities include developing production-ready solutions, assessing and cleaning data, selecting appropriate algorithms, training models, and creating data visualizations to support decision-making.
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The Data Scientist will analyze on-platform marketing campaigns, delivering insights and recommendations to improve performance. Responsibilities include designing tests, collaborating with marketing teams, and using data visualization tools. This role supports audience targeting and data pipeline maintenance to enhance campaign effectiveness.
As a Revenue Compensation Analyst, you will manage sales compensation plans, calculate commissions and bonuses, and maintain documentation. You will assist in developing communication policies and be the expert on plan calculations while responding to inquiries about compensation mechanics.
Research Engineer / Research Scientist role focusing on finetuning AI systems to improve behavior and alignment with human values. Opportunity for creative research on language models and AI safety efforts at Anthropic. Results-oriented candidates with Python and machine learning experience preferred.
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