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Director Data Science And Analytics

New York,NY

627 Director Data Science And Analytics 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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Director - Life Sciences Advisory - Commercial

Guidehouse Careers

New York, NY 10025

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Manager, Economic Services - Data Science

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum of five years of recent experience with advisory related projects within a quantitative analysis firm, consulting firm, or background in a scientific laboratory
  • PhD in the areas of Computer Science, Mathematics, Mathematical Statistics, Electrical Engineering is required
  • A portfolio of projects (such as via GitHub, personal website, or other platforms) that demonstrates expertise in building and deploying AI/ML models and NLP solutions
  • Experience building data science or LLM-based products, with a demonstrable track record of your personal contributions to the codebase
  • Demonstrated experience in the development, application and interpretation of complex economic and statistical modeling frameworks using Python or R
  • Applicants must be authorized to work in the US without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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New, Posted 21 hours ago
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Assistant Director of Finance

Park Central Hotel

New York, NY 10019

New, Posted 6 hours ago
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Data Scientist-GenAI

Danta Technologies

New York, NY 10027

New, Posted 6 hours ago
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Data Scientist Intern

Concord Advice

Florham Park, NJ 07932

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Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

New, Posted 21 hours ago
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Asst. Director of Finance

ROW NYC

New York, NY 10036

New, Posted 1 hour ago
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Director, Working Capital Strategy

KPMG

New York, NY 10001

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Head of Product Management – Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • Bachelor's Degree in Business, Computer Science, Engineering, Economics, or a related field
  • 10+ years Product management leadership experience for data, intelligence, SaaS, or platform products
  • 5+ years Hands-on product leadership, including directly owning products and building or leading a small, senior team
  • Deep expertise in product management for data, intelligence, or platform products built on AI/ML systems, with the ability to turn embeddings, features, and scores into successful commercial offerings
  • Proven success owning the full product lifecycle for technical and business-facing products, including APIs, feeds, SDKs, dashboards, and insights tools
  • Experience building and packaging data products across APIs, feeds, clean rooms, zero-copy platforms, and audience/activation products, with strong commercial and developer-experience instincts
  • Strong product strategy and commercial acumen, including pricing, packaging, tiering, business cases, and prioritizing investments across markets and revenue streams
  • Deep market fluency in adtech, martech, data, measurement, identity, clean rooms, DSPs/SSPs, and retail media, with the ability to translate market feedback into product decisions
  • Skilled at communicating complex AI/ML and data concepts to executives and partners, with a strong grasp of privacy-preserving data products, governance, and regulatory considerations
  • Comfortable as a hands-on, player-coach leader in a lean, early-stage environment, with the ability to build teams, navigate ambiguity, and deliver against ambitious goals
  • Strong interest in agentic AI and emerging intelligence-product interfaces, including AI-ready APIs, retrieval-grounded experiences, and multi-agent workflows
  • Ability to serve as a visionary leader, think strategically, and anticipate future needs and trends with respect to relevant technologies
  • Ability to lead large change, complex projects and initiatives, foster teamwork, and build a strong culture of collaboration
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