Commute Time
Date Posted
Title
Job Type
Benefits
Pay
2959 Dynamics Crm Developer jobs in New York,NY
New, Posted 14 hours ago
iHire
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)
Capital One
New York, NY 10001
New, Posted 22 hours ago
Jobcase
Engagement Lead with eCommerce or Digital Transformation program Exp
Syntricate Technologies
New York, NY 10001
New, Posted 19 hours ago
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Freight Broker Agent - Experience Required
Logistic Dynamics
Newark, NJ 07102
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Sr. Manager, Category Strategy Rogaine
Kenvue
Summit, NJ 07901
Hybrid~ 39 minPaid Time Off
- A minimum of a bachelor's degree.
- A minimum of 5 years of Consumer Products industry experience in Category Management, Retail Strategy, Trade Marketing or CPG Brand Management (Hair/Beauty experience is desired).
- Extensive knowledge of retail store operations, structure, strategy, and retail execution tactics.
- Exceptional Storytelling & Influence: Demonstrated ability to translate complex insights and strategies into compelling, persuasive narratives that inspire alignment and influence stakeholders across all levels of the organization.
- Thrives in Ambiguity & Builds Structure: Comfortable operating without an established playbook and energized by the opportunity to create new frameworks, processes, and ways of working from the ground up.
- Up to 15% global or domestic travel.
New, Posted 1 day ago
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Controller, Operations
gategroup
Inwood, NY 11096
$145,000-$150,000/yr
~ 34 min OnsiteHealth InsurancePaid Time OffRetirement Benefit
- BS/BA degree in Finance or Accounting (preferred)
- 7 years of experience in a related field
- Broad knowledge of finance, controlling, and cash management
- Effective oral and written communication skills
- Travel %: 10%
New, Posted 20 hours ago
iHire
Senior Associate, SAP CRM - Utilities
KPMG
New York, NY 10001
New, Posted 1 day ago
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Principal Quant Developer (MLOps)
Fidelity Investments
North Bergen, NJ 07047
~ 18 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
- Six (6) years of experience as a Senior Quant Developer or similar role
- Alternatively, a Master's degree (or equivalent foreign education) in the same fields
- Four (4) years of experience as a Lead Quantitative Development or similar role
- This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
- Expert in Python with experience across the development stack (full stack)
- Exposure to object-oriented programming (OOP) and design patterns
- Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
- A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
- Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
- Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
- Proven ability to construct and manage robust data pipelines and event-driven workflows
- Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
- Experience in containerization with Docker and orchestration with Kubernetes
- Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
- Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
- Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
- Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
- Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
- Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
- Awareness of responsible AI governance practices
- Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
- Demonstrated knowledge of mathematics, statistics, and quantitative finance
- Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
- Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
- Domain knowledge in either equities, fixed income or alternative asset classes
New, Posted 1 day ago
Easy Apply
Senior Recruiter - Education Staffing
RCM Healthcare Services
New York, NY 10001
$60,000-$65,000/yr
RemoteHealth InsurancePaid Time OffRetirement Benefit
- Required: Bachelor's Degree
New, Posted 13 hours ago
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Work From Home Commissioned Sales
Globe Life - Moore Organization
New York, NY
RemoteHealth InsuranceRetirement Benefit
- Must be age 18+
- Pass a background check
New, Posted 1 day ago
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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
What companies are hiring Dynamics Crm Developer jobs in New York,NY?
- Capital One
- Syntricate Technologies
- Logistic Dynamics
- Kenvue
- gategroup
- KPMG
- Fidelity Investments
- RCM Healthcare Services
- Globe Life - Moore Organization
- Spectrum
- Capital One
- Syntricate Technologies
- Logistic Dynamics
- Kenvue
- gategroup
- KPMG
- Fidelity Investments
- RCM Healthcare Services
- Globe Life - Moore Organization
- Spectrum
What is the yearly salary range for Dynamics Crm Developer jobs in New York,NY?
The yearly salary range is $60000 - $150000.
The yearly salary range is $60000 - $150000.
