1144 Ap Statistics Tutor jobs in New York,NY

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Pathology Physician

AMN Healthcare - Bronx, NY

Pathology Physician

$139.68/hr

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Operations Manager, Health Economics & Info

MJHS

New York, NY 10040

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree in Statistics, Economics, Business or other related field required.
5 years experience in Healthcare Economics, Statistics, Data Analysis, Financial Reporting, Actuary, Managed Care, and/or Long Term Care operations experience required.
Medicare and/or Medicaid Managed Care experience required.
Experience with regulatory reporting required.
Excellent Word, Excel, Access, Project, Visio skills.

SmartExplore AI is experimental.

New, Posted 18 hours ago

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Senior Machine Learning Engineer - News

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

New, Posted 22 hours ago

Easy Apply

Accounts Payable Specialist

LHH US

Carlstadt, NJ 07072

$65,000-$70,000/yr

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Accounting, Finance, or related field
1-3 years of accounts payable or general accounting experience
Experience working within ERP systems and multiple integrated platforms
Strong Excel skills (reconciliations, data analysis)
High attention to detail and organizational skills
Excellent communication skills, both written and verbal
Ability to manage multiple priorities in a deadline-driven environment
Onsite
Full-Time

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Principal Quant Developer (MLOps)

Fidelity Investments

Hoboken, NJ 07030

~ 16 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 and 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, accompanied by 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
Progress towards CFA (or equivalent) a plus

SmartExplore AI is experimental.

New, Posted 1 day ago

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Emerging Markets Credit, CIB Analyst

Santander Holdings USA

New York, NY 10022

New, Posted 22 hours ago

Easy Apply

Accounts Payable Specialist

LHH US

Kearny, NJ 07032

$65,000-$70,000/yr

~ 24 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Accounting, Finance, or related field
1-3 years of accounts payable or general accounting experience
Experience working within ERP systems and multiple integrated platforms
Strong Excel skills (reconciliations, data analysis)
High attention to detail and organizational skills
Excellent communication skills, both written and verbal
Ability to manage multiple priorities in a deadline-driven environment
Onsite
Full-Time

SmartExplore AI is experimental.

New, Posted 18 hours ago

Senior Machine Learning Engineer - Disney Streaming

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

New, Posted 1 hour 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

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Line Aircraft Technician

Alaska Airlines

Jamaica, NY 11430

$44.16/hr

~ 25 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Strong knowledge of aircraft systems.
Ability to troubleshoot and problem solve technical issues.
Ability to consistently lift 70 lbs.
Must be able to bend, stoop, squat, reach and grasp.
Knowledge of Federal Aviation Administration (FAA) regulations and company procedures.
Valid Airframe & Powerplant (A&P) license.
Must have a valid unexpired driver's license issued by a US state, a US territory or the District of Columbia.
SIDA Badge Requirements: Important notification for employees working at an airport or maintenance hangar: Employees will be required to obtain a SIDA badge provided by the airport authority and maintain good standing in order to keep their SIDA badge.
Post-offer and/or pre-employment drug testing will be conducted to determine the presence of marijuana, cocaine, opioids, phencyclidine (PCP) and amphetamines or a metabolite of these drugs prior to any offer or employment or transfer into a safety-sensitive position.
Ability to communicate in English.
High school diploma or equivalent.
Minimum age of 18.
Must be authorized to work in the U.S.

SmartExplore AI is experimental.