1812 35s Signals Collector Analyst jobs in New York,NY

New, Posted 1 day ago

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Rail Operator

Interstate Waste Services

Brooklyn, NY 11220

$20/hr

~ 26 min Onsite

Applicants must be at least 18 years of age and legally eligible to work in the United States.
Ability to utilize technology in the form of a tablet and/or computer
High school/GED education completed
Must be able to lift/push/pull at least 50 pounds
Minimum 1 year of rail conducting experience
Able to work in an outdoor environment on a constant basis while being exposed to variable weather conditions, temperatures, chemicals, dust, fumes, smells, and loud noises.

SmartExplore AI is experimental.

New, Posted 10 hours ago

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Property Adjuster Specialist - Field (Hiring Immediately)

USAA

New York, NY 10013

New, Posted 1 day ago

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Rail Operator

Interstate Waste Services

Passaic, NJ 07055

$20/hr

~ 25 min Onsite

Applicants must be at least 18 years of age and legally eligible to work in the United States.
Ability to utilize technology in the form of a tablet and/or computer
High school/GED education completed
Must be able to lift/push/pull at least 50 pounds
Minimum 1 year of rail conducting experience
Able to work in an outdoor environment on a constant basis while being exposed to variable weather conditions, temperatures, chemicals, dust, fumes, smells, and loud noises.

SmartExplore AI is experimental.

Apply Directly

Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

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

SmartExplore AI is experimental.

New, Posted 23 hours ago

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Senior Finance Analyst – Supply Chain

Kenvue

Summit, NJ 07901

Hybrid~ 39 min

A minimum of a bachelor's Degree is required in area related to Finance/ Accounting or Engineering/Business Management
Previous experience in finance or related business experience is required (Supply Chain experience preferred)
Proficiency in spoken and written English is required
Cost and Inventory accounting experience
Strong financial modelling and analytical skills
Experience with automation tools such as Knime, Alteryx, Power BI, Power Apps, advanced Excel.
Strong communication and presentation skills, team player
The ability to define problem statements in a crisp way, establish facts and draw valid conclusions
Individual must work well in a dynamic environment and be able to recommend and implement process improvements, work independently, and handle multiple tasks simultaneously

SmartExplore AI is experimental.

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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.

SmartExplore AI is experimental.

New, Posted 16 hours ago

Software Architect

Trigyn Technologies

New York, NY 10025

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Category Analyst, Dollar

Kenvue

Summit, NJ 07901

Hybrid~ 39 minPaid Time Off

Bachelor's degree or equivalent in a related field
1-2 years prior experience in customer sales, category insights/management, analytics, shopper marketing/insights, or related field in a consumer products environment
Prior experience with syndicated data, such as Nielsen or Circana is preferred; intermediate to advanced Excel and PowerPoint skills are required
Ability to assess, interpret and draw accurate conclusions from sales and customer data is required
Ability to craft impactful presentations to explain recommendations and findings of analyses, resources and studies is required
Up to 15% travel can be expected

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.