3336 Java Engineer Data Science Platform jobs in New York,NY

The base pay for this position generally is between **$263,200.00 and $393,800.00**.

Certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Proven record leading data science for data, audience, identity, targeting, or measurement products in the advertising, media, or marketing ecosystem, where models are packaged, priced, sold, and renewed by external buyers

Deep, hands-on expertise in predictive modeling on consumer-level data at scale, including propensity and response modeling, classification, gradient boosting, regression, calibration, segmentation and clustering, and lookalike modeling, with sound judgment about which method fits the commercial problem

Strong grounding in measurement and causal inference, including incrementality testing, matched and synthetic controls, test-and-holdout design, and the practical limits of attribution and media mix approaches

Working knowledge of identity and data collaboration: household and device graphs, onboarding and match rates, clean rooms (Snowflake, LiveRamp, AWS, or equivalent), identity namespaces such as RampID and UID2, and the use of licensed third-party data in modeling

Command of the full data science lifecycle in production, from feature engineering through training, validation, deployment, monitoring, and iteration, at large dataset scale (billions, even trillions of records); experience designing feature stores and scoring pipelines that serve audiences and partner deliveries

Hands-on proficiency with Python, SQL, and distributed data processing (Spark or equivalent); experience running ML workloads on Snowflake, Databricks, AWS, or equivalent cloud platforms

Solid working knowledge of deep learning and representation learning, including embeddings, sequence models, and transformers, sufficient to direct an embedding roadmap with external partners, set its evaluation standards, and put embeddings to work as features in downstream models

Familiarity with privacy-preserving analytics and consumer data regulation, including aggregation thresholds, differential privacy, and consent management; comfortable working alongside Legal and Privacy on product design

Track record of building and growing high-performing data science teams, ideally from an early stage, and recruiting senior talent in competitive markets

Bachelor's Degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field

Experience leading applied data science or analytics teams that build data, audience, identity, or measurement products: 7 years

Hands-on predictive modeling, machine learning, or measurement science on consumer-level data at scale: 10 years

Master's degree or PhD in Statistics, Machine Learning, Econometrics, Operations Research, or a related quantitative discipline; an advanced degree is valued but not required, and a record of applied commercial impact is weighted equally

Senior data science leadership at a data, identity, audience, or measurement company in the advertising and media ecosystem (e.g., LiveRamp, Merkle, Epsilon, Acxiom, Experian, TransUnion, Nielsen, Circana, Comscore, The Trade Desk, or specialty analytics and measurement firms): 10 years

Applied deep learning or representation learning (embeddings, sequence models) deployed in production on consumer behavioral data: 3 years

Work with TV and video viewership data, cross-screen measurement, or identity graph quality evaluation: 3 years

Opportunity for annual merit pay increases

401K with 60% Match up to 6% of salary

Paid company training

Medical, Dental, Vision, Life, Critical Illness, and Hospital Indemnity Coverage

Company Paid Short Term and Long-Term Disability

Paid vacation, holiday, and sick time

Educational Assistance

Wide variety of employee discounts on travel, equipment, and more!

Minimum 5 years of experience estimating in the fire alarm and/or security/low voltage field.

Education BA Business/ BS Engineering/MS Engineering or applicable amount of experience in the appropriate field may be substituted for the educational background

Strong understanding of relevant codes, including NFPA and NEC.

Ability to read and interpret detailed construction drawings and scope documentation.

Experience working with major manufacturers (e.g., Silent Knight, Firelite, Bosch, Hanwha, Avigilon, Axis, Genetec, Lenel, and others).

MS Office

Acrobat

Visio

DWG Writer

Big Machines

SalesForce

Knowledge of construction schedules, project meetings and how they pertain and impact the project.

Excellent working knowledge of construction industry conventions

Good understanding of workload and the requirements to maintain commitments.

Ability to navigate high value job environment for time lines, and compliance requirements

Firm grasp of the competitive environment and strategic plays by competitors

Excellent command and knowledge of building code requirements

NICET Certification- Fire Alarm Systems Level III or higher, preferred.