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Director Data Science Machine Learning

New Brunswick,NJ

870 Director Data Science Machine Learning jobs in New Brunswick,NJ

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Machine Learning Engineer

Capital One - New York, NY

Capital One - New York, NY

Machine Learning Engineer
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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
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Manager, Machine Learning and Applied Science

StaffSource, LLC

New York, NY 10025

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Senior Manager, Machine Learning Engineering

Capital One

New York, NY 10001

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Concord Advice

Florham Park, NJ 07932

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Data Scientist-GenAI

Danta Technologies

New York, NY 10027

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Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

Director - Life Sciences Advisory - Commercial

Guidehouse Careers

New York, NY 10025

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Associate Director, Biostatistics

Genmab

Plainsboro, NJ 08536

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Master's or PhD in a statistical discipline
  • 8+ years of experience in relevant area preferred, or demonstrated capability
  • Experience in statistical analysis, modelling and simulation and adaptive trial designs
  • Experience with drug development in biologics, targeted therapies, and companion diagnostics preferred
  • Experience working with FDA, EMA, and ICH guidance for drug development pertaining to statistics
  • Experience with the relevant regulatory requirements for biostatistics processes and SOPs
  • Experience with regulatory submissions including BLAs and previous experience in dealing with Health authorities such as discussions/negotiations in filing strategies
  • Experience working with SDTM, ADaM, eSUB, and CDISC requirements for regulatory submissions
  • Experience directing multiple complex projects/studies in a technical capacity
  • Proven performance in earlier role/comparable role
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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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