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Remote Predictive Modeling Jobs in Wayne, NJ (NOW HIRING)

Twin Health

Lead Data Analyst

New York, NY · On-site +1

$130K - $140K/yr

Develop and Implement Predictive Models to optimize core business operations, such as forecasting ... A remote and accomplished global team * Opportunity for equity participation * Unlimited vacation ...

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 ...

Verisk

Product Sales Executive

Jersey City, NJ · Remote

... and/or predictive modeling software solutions a plus * Self-starter with proven pre-sales or ... Ability to travel a minimum of 25% of the time #LI-MB1 #LI-Remote

MhyMatch

Data Scientist

New York, NY · On-site +1

Remote Brief Overview of the We are seeking a highly skilled Data Scientist to join our client, a ... build predictive models, and contribute to strategic decision-making. It requires a blend of ...

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 ...

Junction

Data Scientist

New York, NY · On-site +1

$180K - $220K/yr

Fully remote (EST timezone only) Why we need you Junction sits in the flow of high-value ... Lead development of predictive models, segmentation approaches, risk or routing logic, and other ...

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Remote Predictive Modeling information

See Wayne, NJ salary details

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$59

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How much do remote predictive modeling jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote predictive modeling in Wayne, NJ is $59.16, according to ZipRecruiter salary data. Most workers in this role earn between $54.13 and $68.65 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 Wayne, NJ? For Remote Predictive Modeling jobs in Wayne, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Predictive Modeling jobs in Wayne, NJ look for? The top searched job categories for Remote Predictive Modeling jobs in Wayne, NJ are:
What cities near Wayne, NJ are hiring for Remote Predictive Modeling jobs? Cities near Wayne, NJ with the most Remote Predictive Modeling job openings:
Remote Predictive Modeling jobs near you

Senior Data Scientist (Remote)

Siritech Solutions Corp

New York, NY • On-site, Remote

Full-time

Re-posted 11 days ago

Job description

Mode of Work: Remote
New York / New Jersey (Local Preferred)
Job Description:Seeking an experienced Senior Data Scientist to support data-driven investment, development, and portfolio optimization initiatives across multifamily and mixed-use real estate portfolios. The ideal candidate should possess strong expertise in predictive analytics, statistical modeling, market intelligence, and data visualization to drive strategic investment decisions and optimize portfolio performance. This role requires analyzing demographic, migration, economic, geospatial, and consumer datasets to identify high-growth markets, understand renter behavior, improve tenant retention, optimize pricing strategies, and support acquisitions and development efforts using data-driven insights and predictive models.


Key Responsibilities:

  • Analyze demographic, migration, economic, and market trends to identify high-growth submarkets and investment opportunities
  • Develop predictive analytics models supporting investment strategy, acquisitions, and development initiatives
  • Model tenant spending behavior, preferences, segmentation, and price sensitivity to improve product positioning and decision-making
  • Support portfolio optimization initiatives focused on occupancy, rent growth, retention, and pricing strategies
  • Integrate demographic, geospatial, and consumer datasets to generate business intelligence and investment insights
  • Develop statistical and predictive models supporting underwriting and investment evaluation processes
  • Create visualizations, reports, and dashboards to communicate findings and business recommendations
  • Translate complex analytical outputs into clear, actionable business and investment insights for stakeholders
  • Collaborate with business leaders, investment teams, and portfolio stakeholders to support strategic planning and performance optimization

Additional Responsibilities:

  • Support data-driven decision-making for capital deployment and portfolio growth strategies
  • Develop segmentation and pricing models to optimize tenant engagement and operational performance
  • Participate in investment planning, forecasting, and business intelligence discussions
  • Support continuous improvement of analytical methodologies and data models
  • Provide strategic insights supporting portfolio management and development initiatives


Required Skills:

  • Strong expertise in predictive analytics, statistical modeling, and data science methodologies
  • Strong experience with data visualization and analytical reporting
  • Experience integrating demographic, geospatial, and consumer datasets
  • Experience developing pricing, segmentation, forecasting, and predictive models
  • Strong analytical, problem-solving, and data interpretation skills
  • Ability to translate complex analytical findings into business recommendations and investment insights
  • Experience supporting investment strategy, portfolio optimization, or underwriting analytics preferred
  • Strong stakeholder communication and business collaboration skills


Qualifications:

  • Experience supporting real estate, multifamily, mixed-use, investment, or portfolio analytics preferred
  • Strong experience developing predictive models for business and investment decision-making preferred
  • Ability to communicate technical analysis to business stakeholders required
  • Local candidates in NY/NJ preferred