804 Decision Scientist Analytics Engineer jobs in New York,NY

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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

SmartExplore AI is experimental.

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Director, Data and Analytics - Deal Advisory and Strategy

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

Minimum ten years of recent experience in design, development and delivery of data driven solutions; including at least five years as manager of managers in data & analytics delivery
Bachelors degree in Information Systems/Technology, Computer Science, any of the Engineering disciplines or a related field from an accredited college/university
Master’s or PhD from an accredited college/university preferred
Minimum three years of Microsoft Azure Data Platform hands on experience as an architect on Azure Data Lake, Azure Synapse, Azure Data Factory, Power BI, Azure ML with proven consulting and delivery leadership in Data Ingestion, Data Transformation, Data Modeling, Data Security, Data Governance, Data Visualization, Data Science
Experience in Agile project management including planning, organizing, coordinating and managing staff, clients and/or partners towards the successful completion of a project
Proven track record of managing customer-centric data driven solutions using Cloud native technologies (Azure) across a complex portfolio of stakeholders and fostering the development of high-performance teams (both onshore and offshore)
Strong communication skills and ability to present complex information concisely through written & verbal communication; experience hosting interviews, brainstorms / workshops with business teams and executives on data-related topics / projects

SmartExplore AI is experimental.