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From Home Predictive Modeling Jobs in Merrick, NY

Pwc

Adobe Transformation - Manager

New York, NY · On-site

$99K - $232K/yr

... from large datasets and drive data-driven decision-making. You will leverage skills in data ... inform predictive modeling efforts - Confirming data integrity and security within analytics ...

Citizens

Head of People Analytics

New York, NY · On-site

$205K - $277K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

Citizens

Head of People Analytics

New York, NY · On-site

$205K - $277K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

Aston Carter

Mechanical Engineer

Manhattan, NY · On-site

$125/hr

... from your own experience, and write clear, expert-level solutions that serve as training data. This ... Use data analysis, data visualization, predictive modeling, and quality engineering practices where ...

Aston Carter

Mechanical Engineer

Manhattan, NY · On-site

$125/hr

... from your own experience, and write clear, expert-level solutions that serve as training data. This ... Use data analysis, data visualization, predictive modeling, and quality engineering practices where ...

Aston Carter

Mechanical Engineer

Manhattan, NY · On-site

$125/hr

... from your own experience, and write clear, expert-level solutions that serve as training data. This ... Use data analysis, data visualization, predictive modeling, and quality engineering practices where ...

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All JobsPredictive Modeling JobsFrom Home Predictive Modeling JobsFrom Home Predictive Modeling Jobs in Merrick, NY

From Home Predictive Modeling information

See Merrick, NY salary details

$24

$61

$77

How much do from home predictive modeling jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for from home predictive modeling in Merrick, NY is $61.08, according to ZipRecruiter salary data. Most workers in this role earn between $55.87 and $70.87 per hour, depending on experience, location, and employer.

What is a work-from-home predictive modeling job?

A work from home predictive modeling job involves using statistical techniques, machine learning, and data analysis to build models that forecast future outcomes based on historical data—all performed remotely. Professionals in this field analyze data sets, select appropriate algorithms, and create models to help inform business decisions or predict trends. These roles are common in industries like finance, healthcare, marketing, and insurance. Working remotely allows predictive modelers to collaborate with teams virtually, using specialized software and cloud-based tools.

What skills and qualifications are needed to thrive as a work-from-home predictive modeler?

To thrive as a Work-from-Home Predictive Modeler, you need strong statistical analysis skills, proficiency in programming languages like Python or R, and typically a degree in statistics, mathematics, data science, or a related field. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud-based platforms (such as AWS or Azure) are highly valued, along with certifications in data science or analytics. Exceptional problem-solving abilities, attention to detail, and effective remote communication skills help set outstanding professionals apart. These skills ensure the accurate development and communication of predictive models that drive data-driven decision-making in a remote work environment.

What are the typical collaboration methods for remote predictive modeling professionals working from home?

Remote predictive modeling professionals often collaborate through virtual meetings, shared data platforms, and cloud-based modeling tools. Effective communication with data engineers, analysts, and business stakeholders is essential, typically facilitated via video calls, chat apps, and project management systems. Regular check-ins and shared documentation help ensure alignment on project goals, model assumptions, and results. While working independently is common, there is a strong emphasis on teamwork and timely feedback to drive successful model deployment and refinement.

What is the difference between From Home Predictive Modeling vs From Home Data Analysis?

AspectFrom Home Predictive ModelingFrom Home Data Analysis
CredentialsTypically requires a degree in statistics, data science, or related fields; certifications in predictive analytics are commonRequires similar credentials, often with a focus on data analysis, statistics, or business intelligence
Work EnvironmentRemote, often collaborative with data science teams, using modeling tools and programming languagesRemote, involves analyzing datasets, creating reports, and visualizations, often using Excel, SQL, or BI tools
Industry UsageUsed in finance, marketing, healthcare for forecasting and decision-makingApplied across industries for insights, reporting, and data-driven strategies

From Home Predictive Modeling focuses on building models to forecast future outcomes, while From Home Data Analysis emphasizes examining data to generate insights and reports. Both roles often require similar skills and credentials but differ in their primary objectives and tools used.

What job categories do people searching From Home Predictive Modeling jobs in Merrick, NY look for?

The top searched job categories for From Home Predictive Modeling jobs in Merrick, NY are:

From Home Predictive Modeling jobs near you
Infographic showing various From Home Predictive Modeling job openings in Merrick, NY as of June 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $127,036 per year, or $61.1 per hour.

Research Engineer, Knowledge Graph Intelligence

Point72

New York, NY • On-site

$175K - $250K/yr

Full-time

Retirement

Re-posted 5 days ago

Job description

A Career with point72's Surveillance team
Point72's Surveillance team sets the industry standard for intelligence-driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. At Point72, members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws, internal compliance policies and procedures, and relevant rules and regulations enforced by the SEC, FINRA, and other organizations.
What you'll do
As a Machine Learning Engineer - Applied Scientist you will play a critical role in developing algorithmic solutions and models for production-ready applications that support our front office investment professionals. You will specialize in natural language processing (NLP) solutions that extract insights from unstructured text data, with additional capabilities in predictive modeling, clustering, and time series analysis. You will manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation. You will apply, adapt, and extend existing results in the broad field of NLP, while also conducting novel research as required. Specifically, you will:
  • Contribute to projects across various machine learning (ML) disciplines, including NLP, unstructured data analysis, predictive modeling, and classic machine learning.
  • Implement GenAI solutions, utilize ML infrastructure, and contribute to modeling, data preparation, optimization, and performance enhancements.
  • Work with sparse data and apply techniques to improve model accuracy and generalization.
  • Conduct data evaluation, including data preprocessing, feature engineering, and model performance assessment.
  • Collaborate cross-functionally with data engineers, software developers, and product teams to integrate models into production systems.
  • Stay up to date with the latest advancements in natural language processing and machine learning, applying new techniques as needed.

What's REQUIRED
  • PhD, master's degree, or 4+ years of CS, CE, ML or related field experience.
  • 6+ years of experience building ML models and developing algorithms.
  • Strong proficiency in Python, and hands-on experience with NumPy, Hugging Face, PyTorch, and spaCy for NLP applications.
  • Prior experience in the domains of LLMs, foundation models, or large-scale deep learning systems, with a complete understanding of modern training, fine-tuning, quantization, and model evaluation.
  • Expertise in working with sparse data and applying techniques such as data augmentation, weak supervision, and semi-supervised learning.
  • Solid grasp of NLP concepts, including tokenization, embeddings, attention mechanisms, and transformer-based architectures.
  • Experience with data evaluation techniques, model explainability, and error analysis.
  • Experience working in a Linux environment.
  • Commitment to the highest ethical standards.

We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
  • Fully-paid health care benefits
  • Generous parental and family leave policies
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of color, and the LGBT+ community
  • Mental and physical wellness programs
  • Tuition assistance
  • A 401(k) savings program with an employer match and more

About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $175,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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