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Data Revenue Optimization Analyst

New York,NY

499 Data Revenue Optimization Analyst jobs in New York,NY

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DataBricks Data Engineer

INNOVA

New York, NY 10060

$70-$75/hr
OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • At least 7 years of experience in data engineering, with a minimum of 3 years hands-on experience building and managing Databricks solutions.
  • Extensive experience with Databricks platform components: Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows.
  • Strong proficiency in Python and/or Scala for data engineering; SQL expertise required.
  • Strong experience with core data engineering practices including data ingestion, transformation (ETL/ELT), data modeling, and pipeline orchestration.
  • Experience integrating Databricks with cloud platforms (Azure, AWS, or GCP) and data sources such as Azure Data Factory, Event Hubs, Kafka, or equivalent.
  • Must work well in a team environment while being a resourceful, independent self-starter able to work effectively with minimal direction.
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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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Business Analyst-Guidewire Claims

INNOVA

Edison, NJ 08899

$120,000-$130,000/yr
Hybrid~ 47 min

  • Bachelor's degree required.
  • Minimum 3 years of active experience in Property and Casualty (P&C;) commercial lines insurance required.
  • Minimum 2 years of specialized experience as a Functional Analyst on the Guidewire ClaimCenter platform required.
  • Deep understanding of Guidewire's standard base capabilities, ensuring minimum deviation to reduce tech debt required.
  • High proficiency in claim lifecycles, exposure management, financial transactions (reserves, recoveries, payments), and litigation required.
  • Extensive experience operating within Agile/Scrum methodologies, managing backlogs, and running sprint cycles required.
  • Knowledge of Microsoft Office 365 required.
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Investment Accounting Data Analytics and Reporting Manager

MassMutual

New York, NY 10012

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(BCBA) Behavior Analyst

Spectrum 360 A NJ Non Profit

Livingston, NJ 07039

~ 40 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Must hold a Master's degree in Applied Behavior Analysis, Education, Psychology or related field and have current certification as a BCBA
  • Teacher of Students with Disabilities, CE, CEAS preferred
  • Experience with conducting Functional Behavior Assessments (FBA) and developing Behavior Intervention Plans and Positive Behavior Supports
  • Proficient in Behavior Skills Training
  • Demonstrates ability to analyze data and make data based decisions
  • Effective and professional communication and interpersonal skills
  • Required criminal history background checks and proof of US citizenship or legal resident alien status
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Strategic Expense Analysis & Capabilities Manager

MassMutual

New York, NY 10012

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Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

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Sr Product Manager II, Data Product Management

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$163,100-$218,700/yr
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Sales Leader - Insurance Practice

NTT DATA Americas

New York, NY 10261

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Senior Associate, EVS Economic Services Data Science with Clearance

KPMG

New York, NY 10025

Onsite

  • Minimum three years of recent experience with advisory-related projects within a quantitative analysis firm
  • Master's degree or higher from an accredited college/university preferred; minimum of a Bachelor's degree in economics, statistics, mathematics, applied mathematics or computer science from an accredited college/university is required; coursework or minor in Information Systems, Software Engineering, Data Science or Data Analytics
  • Minimum two years of experience with one of the following data analysis software such as STATA, SAS, Python, SQL and R
  • Experience with management and analysis of large volumes of data, financial analysis and valuation, statistical analysis, building and working with economic or mathematical models, and econometric analyses
  • Experience with data science, machine learning methods, and LLM-based solutions and products
  • Demonstrated ability to think creatively and offer solutions to solve complex economic, financial, and business challenges for clients
  • Excellent written and verbal communication skills, solid research skills, and the ability to work well both autonomously and in a team environment
  • Applicant must possess a U.S. Government Secret clearance
  • Applicants must be authorized to work in the U.S without the need for employment-based sponsorship now or in the future; KPMG LLP will not sponsor applicants for US work visa status for this opportunity (no sponsorship is available 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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