Top Hybrid Data & Analytics Jobs in New York City, NY
GoodRx is seeking a Sr. Data Engineer to collaborate with various teams in building data pipelines, data warehouses, and data mart solutions. The role involves working with big data technologies, cloud services like AWS, and ensuring data integrity and quality for informed business decisions.
Opportunity to solve clients' critical business and data protection challenges. Drive strategic programs, data analytics, innovation, and technical implementation activities. Focus on threat actor simulation services, assessments, and penetration tests. Help clients understand risks they face and enhance their controls. Work as part of a team providing risk assessments and recommendations using technical tradecraft and automation. Collaborate with top professionals to drive change and enhance technical acumen.
Join our Cybersecurity, Privacy, and Forensics team to work on strategic programs, data analytics, and technical implementation activities focusing on information governance. Manage projects related to data governance, data modeling, ontologies, and knowledge graphs to support client use cases.
The Senior Machine Learning Operations VP will build and maintain pipelines for model training, batch/real-time model serving, hyperparameter tuning at scale, model monitoring, production validation, and other activities vital for model development, testing, and deployment in a well-managed, controlled environment.
The Senior Machine Learning Operations Senior Associate will build and maintain pipelines for model training, batch/real-time model serving, hyperparameter tuning at scale, model monitoring, production validation, and other activities vital for model development, testing, and deployment in a well-managed, controlled environment. Responsibilities include deploying and maintaining infrastructure for model development, feature generation, model serving, monitoring, and compute-intensive tasks, as well as collaborating with product and engineering teams to define scalable solutions.
Join the Chief Modeling organization as an Applied AI ML Senior Associate to develop cutting-edge models in Marketing, Finance, and Operations. Responsibilities include advanced statistical analytics, generating insights, model lifecycle contribution, and collaboration across teams. Required qualifications include an advanced degree in a quantitative field, experience in developing ML models, proficiency in SQL and Python, and strong analytical skills.
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Seeking an experienced Data Scientist to analyze complex data sets related to private markets and alternative investments, develop data models, visualize insights, collaborate with teams, and stay updated on industry trends. Requires expertise in Python, SQL, data visualization, statistical analysis, and machine learning.
Senior Machine Learning Engineer role at Canoe Intelligence, focusing on NLP algorithm development, model training, data preprocessing, collaboration with teams, and research initiatives. Requires 5 years of ML experience and proficiency in Python and ML libraries.
This Senior Data Scientist position at AnthologyAI involves processing, cleansing, and analyzing vast amounts of user data using advanced machine learning and AI techniques to derive insights and enhance products/services. The role includes strategic planning, implementing innovative algorithms, ensuring data privacy compliance, and collaborating with cross-functional teams.
Develop advanced algorithms, apply statistical techniques, collaborate with clients, assess emerging datasets, contribute to research and mentor team members in a management consulting and technology firm specializing in healthcare solutions.
Lead the design, development, and deployment of machine learning models and algorithms to solve complex business challenges in the fintech domain. Analyze diverse datasets, develop predictive models, conduct exploratory data analysis, optimize performance, and integrate models into production systems.
Join Capital One as a Principal Data Scientist in Commercial Banking Data Science. Collaborate with cross-functional teams to deliver customer-centric products, build machine learning models, mine insights from large datasets, and translate complex work into business goals. Ideal candidates are creative, leaders, statistically-minded, and skilled in handling big data. Basic qualifications include a Bachelor's Degree and 5 years of experience.
Seeking a Data Scientist II - Commercial Analytics to develop business intelligence that drives action in the healthcare industry. Responsibilities include building scalable data assets, collaborating with Data Engineering, resolving ad-hoc data requests, and empowering data-driven decision making. Must have 3 years of analytical experience, expertise in SQL and data visualization tools, and strong communication skills.
Looking for a passionate Machine Learning Engineer to build and scale recommendation systems for global streaming apps. Must have industry experience and technical lead experience. Responsibilities include architecting recommendation systems, collaborating with teams, and driving ML projects. Requirements include practical knowledge of recommender systems, large-scale distributed application architecture, Python/Java programming experience, and excellent communication skills.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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