828 Scientific Data Visualization Programmer jobs in New York,NY

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QC Scientist I

Adecco

Fair Lawn, NJ 07410

$25/hr

~ 29 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

Bachelors degree in Analytical Chemistry, Organic Chemistry, Biochemistry, Biology, or related field from an accredited university
Minimum of 1 year (2 years preferred) of industry or other relevant market experience, preferably in chemistry or bio/pharmaceutical industry
Hands-on experience with wet chemistry and basic Analytical instruments is preferred
Ability to lift up to 40lbs

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Manager - Data Analytics

Optimum Communications

Long Island City, NY 11101

$123,379-$202,694/yr

New, Posted 10 hours ago

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Sr. TPM, GenAI, Catalog Systems

Amazon.com Services LLC

New York, NY 10261

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

7+ years of working directly with engineering teams experience
5+ years of technical product or program management experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules

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Business Development Executive, Intellium

New York, NY 10017

Requires TravelUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelors Degree; CPCU, and/or ACII experience
3+ years in the insurance industry experience successfully quoting, engineering and/or underwriting
Knowledge of property forms, HPR engineering, competitors and brokers
Proficiency with computers and associated software such as Excel, PowerPoint and Word

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New, Posted 20 hours ago

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Senior Scientist, Claims Excellence

Kenvue

Summit, NJ 07901

Hybrid~ 39 minPaid Time Off

Bachelor's degree with at least 3 years or Master's/PharmD/PhD degree with 2+ years of Consumer/OTC/pharmaceutical (or equivalent) industry and/or relevant work experience
Experience in developing compelling claims & communication strategies and translating scientific evidence into robust claims substantiation
The ability to work in a matrix environment with cross-functional teams and have excellent verbal and written communication skills
Must be able to work independently, think analytically, manage multiple complex tasks, while also being highly detail oriented and organized
Strong collaboration, influence, and decision-making skills, along with the ability to manage routine processes and consider measured risks

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Marketing Strategic Partner, Sports Sponsorships

New York, NY 10017

$120,400-$173,100/yr

HybridUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in marketing, Communications, or Business.
5+ years of marketing experience is required, with an emphasis on sports marketing or sponsorship activation in a corporate and/or agency setting.
Understands the business objectives of assigned campaigns and knows which marketing plans and tactics will support achieving the objectives at a global and regional level.
Apply knowledge of marketing to decide how best to prioritize plans and campaigns to achieve Corporate and Operations objectives.
Good knowledge of marketing tools, tactics, and techniques in general.
Solid understanding of the business priorities of FM and its various business units.
Demonstrated ability to develop, deliver and run global and locale integrated marketing plans with detailed objectives and proven ROI.
Consistent track record of delivery to tight budgets and deadlines.
Excellent communication and creative thinking skills.
Demonstrated project management skills.
Strong interpersonal skills-demonstrated teamwork skills.
Customer focused.
B2B experience.
Domestic and international travel is required 10-15% throughout the year.

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Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

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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

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