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Remote Predictive Modeling Jobs in Queens, NY (NOW HIRING)

VeeRteq Solutions Inc.

Gen AI Engineer

New York, NY · Remote

Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain ... Must have 4-6 years in applying Machine Learning and Predictive Modeling to maximize outcomes or ...

Trafilea

Fulfillment Manager

New York, NY · On-site +1

$20.25 - $22.50/hr

Be part of a dynamic, diverse, and talented global team. 100% Remote, USD competitive salary, paid ... Drive automation, predictive models and AI-driven operational improvements * Build and strengthen ...

Bread Financial

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

Research advanced modeling and AI techniques to improve predictive modeling and maintain business ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

SysMind Tech

Senior Cloud Data Engineer

Manhattan, NY · On-site +1

$116K - $158K/yr

This role will be remote without any travel required. The ideal candidate will be available during ... Prepare data for prescriptive and predictive modeling * Build algorithms and prototypes * Combine ...

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning ... We have a flexible work environment and allow remote work depending on one's personal choice.

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Remote Predictive Modeling information

See Queens, NY salary details

$24

$62

$79

How much do remote predictive modeling jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for remote predictive modeling in Queens, NY is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $72.26 per hour, depending on experience, location, and employer.

What jobs will no longer exist in 2030?

Predictive modeling jobs are expected to evolve significantly by 2030, with some routine data analysis roles potentially automated through advanced AI and machine learning tools. However, roles requiring complex judgment, creativity, and domain expertise will continue to be essential, though the skills needed may shift toward managing and interpreting AI systems. Overall, jobs that rely heavily on manual, repetitive tasks are most at risk of disappearing or transforming.

Is 40 too late for data science?

Age is not a barrier to entering remote predictive modeling or data science roles. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch to data science at 40 or older.

Is predictive modeling difficult?

Predictive modeling as a job involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex and requires strong analytical and programming skills. Success often depends on understanding statistical concepts, data preprocessing, and tools like Python or R, making it a challenging but manageable field for those with relevant training. Continuous learning and experience are key to mastering the skills needed for this role.

Can AI do predictive modeling?

AI is commonly used in predictive modeling to analyze data and forecast future outcomes. Predictive modeling involves techniques like machine learning algorithms, which are often implemented by data scientists and analysts using tools such as Python or R. These models are essential in various industries for decision-making and strategic planning.

What is the difference between Remote Predictive Modeling vs Remote Data Analysis?

AspectRemote Predictive ModelingRemote Data Analysis
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data cleaning, descriptive statistics, visualization
Work EnvironmentCollaborative teams, project-based tasks, often in tech or financeData reporting, dashboard creation, business insights
Common CertificationsCertified Data Scientist, Machine Learning certificationsData Analysis certifications, Tableau or Power BI certifications

Remote Predictive Modeling focuses on building models to forecast future outcomes using advanced algorithms, while Remote Data Analysis involves examining existing data to generate insights and reports. Both roles require strong analytical skills, but predictive modeling emphasizes machine learning and statistical techniques, whereas data analysis centers on data interpretation and visualization.

What are popular job titles related to Remote Predictive Modeling jobs in Queens, NY? For Remote Predictive Modeling jobs in Queens, NY, the most frequently searched job titles are:
What job categories do people searching Remote Predictive Modeling jobs in Queens, NY look for? The top searched job categories for Remote Predictive Modeling jobs in Queens, NY are:
What cities near Queens, NY are hiring for Remote Predictive Modeling jobs? Cities near Queens, NY with the most Remote Predictive Modeling job openings:
Remote Predictive Modeling jobs near you

Gen AI Engineer

VeeRteq Solutions Inc.

New York, NY • Remote

Contractor

Re-posted 18 days ago

Job description

Gen AI Engineer

Experience:
6+ Years

Location:
Remote

What is in it for you?

As a Gen AI Engineer, you will design, develop, and maintain Generative AI solutions that drive intelligent automation and advanced data processing.

Responsibilities:-

  • Must have 4–6 years in applying Machine Learning and Predictive Modeling to maximize outcomes or identify best approaches.

  • Must have deep expertise with Generative AI and Agentic AI.

  • Healthcare/health services sector experience preferred.

  • Extended work experience in software development and collaboration across teams.

  • Possess a passion for developing methods to discover solutions using large data sets and working with stakeholders to improve business outcomes.

  • Possess a drive to learn and master new technologies and techniques.

  • Advanced proficiency in Python & PyTorch to manipulate large datasets, train or evaluate AI/ML models.

  • Experience designing, conducting, analyzing, and interpreting experiments and investigations.

  • Strong problem solving, critical thinking, creativity, organizational, design, interpersonal, and communication (written, verbal, and listening) skills.

  • Fluent in English (both verbal and written).

  • Ability to work with a wide range of stakeholders, functional teams, and all levels of engineers.

  • Confirmed ability to handle multiple projects with strict deadlines.

Educational Qualifications:-

  • Advanced degree (Ph.D. or M.S. with at least three years of relevant research experience) in Statistics, Applied Mathematics or Data Science, Computer Science, or a related field.

  • Technical certification in multiple technologies is desirable.

Mandatory Skills:-

  • Search – retrieval, vector DB, RAG

  • Data extraction/parsing – OCR, GenAI-based data extraction from unstructured documents (PDFs, PNGs, texts, etc.)

  • Model/Agent evaluation frameworks – Text2SQL evaluation, RAG evaluation