772 Data Scientist Fresher jobs in New York,NY

Bachelor's degree or equivalent in a relevant field such as business, analytics, sales or marketing
A minimum of 6-8 years of progressive experience in business intelligence, market research, consumer insights or competitive intelligence roles
Strong analytical skills with the ability to synthesize complex data into actionable business insights and strategic recommendations
Experience managing and developing teams, with a track record of fostering high performance and collaborative work environments
Excellent communication and presentation skills, capable of influencing senior stakeholders and cross-functional teams, while partnering with both technical and non-technical stakeholders

SmartExplore AI is experimental.

New, Posted 5 hours ago

ResumeLibrary

Sales Specialist, Intelligent Data Services, Financials

NetApp

New York, NY 10001

HybridHealth InsurancePaid Time OffRetirement Benefit

7–10 years of enterprise sales experience (Cloud, SaaS, or Data Infrastructure), with a Bachelor's degree; or equivalent experience.
Proven success managing complex sales cycles and closing large deals.
Strong understanding of infrastructure, hybrid cloud, and data protection technologies.
Experience collaborating with hyperscalers and strategic partners.
Excellent verbal and written communication, presentation, and negotiation skills.
Aptitude for understanding how technology solutions solve business problems.

SmartExplore AI is experimental.

New, Posted 15 hours ago

iHire

Machine Learning Engineer

Capital One

New York, NY 10001

New, Posted 1 day ago

Easy Apply

High School Science Teacher

URBAN DOVE TEAM CHARTER SCHOOLS

Brooklyn, NY 11201

$70,969-$114,450/yr

Health InsurancePaid Time OffRetirement Benefit

Bachelor's degree required
New York State Certification
Both novice and experienced teachers may apply

SmartExplore AI is experimental.

Senior Product Manager II - Tax and Billing

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$155,700-$208,700/yr

Apply Directly

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.