4677 Data Scientist Human Resources jobs in New York,NY

New, Posted 1 day ago

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Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

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VP – Data Architecture Governance

Synchrony Financial

New York, NY 10012

Remote

Bachelor's Degree in Computer Science or related field
A minimum 10+ years' experience in information technology or in lieu of degree, High School/GED and 15+ years of Information technology experience
A minimum of 8 years of progressive experience in governance role supporting engineering org or senior data architecture roles within regulated environments, with preference for financial services
Proven experience owning data platform architecture governance and control frameworks and driving compliance activities from design through implementation and evidence
Strong collaboration skills to work effectively with architects, engineers, risk, and audit teams
Experience managing audit coordination and regulatory compliance activities for technology platforms
Knowledge of industry best practices in data architecture and governance, with focus on cloud modernization initiatives
Strong communication skills, including ability to brief executive leadership on risk and compliance matters
Familiarity with risk management and issue tracking tools and processes is preferred
Ability and flexibility to travel for business as required

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Associate Director, Clinical Research Scientist

Genmab

New York, NY 10115

PhD, Pharm D, MS or equivalent degree preferably within the medical, biological, pharmaceutical science or related discipline
Minimum of 8 years of experience in clinical research with at least 4 or more years of drug development experience
Prior oncology/hematology drug development experience is a plus
Proven skills from working in a project oriented matrixed team environment
Excellent oral, written and interpersonal (communication) skills
Ability to travel, as needed

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

SmartExplore AI is experimental.

New, Posted 14 hours ago

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