767 Sr Scientist Tech jobs in New York,NY

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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Senior Organizational Development Manager

Cellebrite

Morristown, NJ 07960

5+ years of experience in OD and Learning domain in global companies
Bachelor's degree in HR, Organizational Development, Psychology, Social Science, or a related field
A master's degree is preferred
Excellent verbal and written communication skills in English
Strong project management skills, managing multiple cross-organizational projects and priorities in a fast-paced environment

SmartExplore AI is experimental.

New, Posted 14 hours ago

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Senior Vice President, Full-Stack Engineer

BNY

Jersey City, NJ 07306

Urgently Hiring

New, Posted 22 hours ago

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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

SmartExplore AI is experimental.

New, Posted 1 day ago

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Sr. Project Engineer

MasTec Industrial

Jersey City, NJ 07305

$130,000-$160,000/yr

Urgently Hiring

Recommended

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Clinical Laboratory Scientist

United States Army

New York, NY 10025

Recommended

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Clinical Laboratory Scientist

United States Army

Jersey City, NJ 07305

New, Posted 1 day ago

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Senior Associate, EVS Economic Services Data Science with Clearance

KPMG

New York, NY 10025

Onsite

Minimum three years of recent experience with advisory-related projects within a quantitative analysis firm
Master's degree or higher from an accredited college/university preferred; minimum of a Bachelor's degree in economics, statistics, mathematics, applied mathematics or computer science from an accredited college/university is required; coursework or minor in Information Systems, Software Engineering, Data Science or Data Analytics
Minimum two years of experience with one of the following data analysis software such as STATA, SAS, Python, SQL and R
Experience with management and analysis of large volumes of data, financial analysis and valuation, statistical analysis, building and working with economic or mathematical models, and econometric analyses
Experience with data science, machine learning methods, and LLM-based solutions and products
Demonstrated ability to think creatively and offer solutions to solve complex economic, financial, and business challenges for clients
Excellent written and verbal communication skills, solid research skills, and the ability to work well both autonomously and in a team environment
Applicant must possess a U.S. Government Secret clearance
Applicants must be authorized to work in the U.S without the need for employment-based sponsorship now or in the future; KPMG LLP will not sponsor applicants for US work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

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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

SmartExplore AI is experimental.