647 Data Science Analyst Tcom jobs in New York,NY

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(BCBA) Behavior Analyst

Spectrum360 A New Jersey NonProfit Corporation

Livingston, NJ 07039

~ 40 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Must hold a Master's degree in Applied Behavior Analysis, Education, Psychology or related field and have current certification as a BCBA
Experience with conducting Functional Behavior Assessments (FBA) and developing Behavior Intervention Plans and Positive Behavior Supports
Proficient in Behavior Skills Training
Demonstrates ability to analyze data and make data based decisions
Required criminal history background checks and proof of US citizenship or legal resident alien status

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Clinical Laboratory Scientist

United States Army

New York, NY 10025

New, Posted 1 day ago

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IBOR Business Systems Analyst - Investment Management Technology

MassMutual

New York, NY 10012

Onsite

Bachelor's degree
8+ years of experience with designing and implementing complex solutions
5+ years of investment data experience with an understanding of systems and data management
5+ years of experience with investment management systems (from front office to middle office, to back office)
5+ years of data analysis experience working with large data sets and multiple sources of data

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Principal Applied Scientist, Amazon Braket

Amazon Development Center U.S.

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

5+ years of relevant work in industry or academia experience
Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
Experience in more than one major programming language (C++, Java, or related) and at least one scripting language (Perl, Python, or equivalent)
Have peer-reviewed scientific contributions in premier journals and conferences
PhD in Quantum Computing, Computer Science, Mathematics, or related technical field

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Clinical Laboratory Scientist

United States Army

Elizabeth, NJ 07202

New, Posted 1 day ago

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Systems Analyst – Enterprise Automation

MassMutual

New York, NY 10012

Onsite

Bachelor's degree in Computer science, engineering or other applicable discipline
8+ years of experience in business analysis, process improvement, automation, or digital transformation roles.
5+ years of experience working with Robotic Process Automation (RPA) platforms (e.g., UiPath or similar)

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Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

New, Posted 4 hours ago

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Lead NDT Inspection Engineer (Gas Turbine Components)

GE Vernova

Parsippany, NJ 07054

~ 45 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Engineering, Materials Science, Physics, or a high school diploma/GED with a minimum of 8 years of equivalent experience in a related technical discipline.
Minimum of 2 ASNT Level II certifications in any of the following: Liquid Penetrant Testing (PT); Magnetic Particle Testing (MT); Radiographic Testing (RT); Eddy Current Testing (ET)
Strong knowledge of GD &T; (ASME Y14.5) and experience with CMM inspection techniques. Ability to interpret engineering drawings, material specifications, and inspection requirements.
Minimum of 5 years of experience applying NDT and quality inspection within a manufacturing environment.
Travel: Ability to travel between Parsippany, NJ, and Allentown, PA as required.
This role requires use of technical data subject to U.S. Government export restrictions and this posting is only for U.S. Persons (U.S. Citizens, lawful permanent residents and protected individuals (e.g., certain refugees and asylees)). GE will require proof of status prior to employment.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening.
This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

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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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Compensation & Retirement Analyst

MJHS

New York, NY 10040

Onsite

Bachelor's degree in Human Resources, Business Administration, Finance, or a related field.
Minimum of 3–5 years of experience in compensation required.
Working knowledge of compensation principles, retirement plans, and related regulatory requirements.
Experience supporting merit, bonus, and pay administration cycles.
Proficiency with HRIS systems, payroll platforms, and Microsoft Office applications.

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