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

Data Scientist

New York, NY ยท 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 ...

Senior Cloud Data Engineer

Manhattan, NY ยท 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 ...

Data Engineer

Parsippany, NJ ยท Remote

$105K - $151K/yr

Familiarity with predictive model building in Python (Pandas/PySpark) / R * Experience with source ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Data Engineer

Parsippany, NJ ยท Remote

$105K - $151K/yr

Familiarity with predictive model building in Python (Pandas/PySpark) / R * Experience with source ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Lead Quality Data Analyst - Remote

New York, NY ยท On-site +1

$77K - $149K/yr

Perform exploratory and in-depth data analyses for assigned measure/population and develop complex predictive models utilizing independent variables and programming language. * Develop customized ...

MLOps Engineer

New York, NY ยท 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.

ServiceNow Architect

New York, NY ยท Remote

$73 - $91.75/hr

Remote (NY/NJ locals preferred) Duration: Long term contract * Looking for a ServiceNow Solution ... Solid understanding of ServiceNow architecture, data models, and modules * Proven track record of ...

... predictive biology, and computational safety infrastructure. If you are excited about working at ... Experience building scalable systems, models, or products * Strong communication and collaboration ...

Remote Role Responsibilities * Lead revenue cycle analytics , reporting, and decision-support ... Experience with predictive analytics, revenue cycle forecasting, and net revenue modeling.

Product Engineer

Bronx, NY ยท On-site +1

$150K - $180K/yr

Predictive models for access, utilization, and outcomes * Data pipelines and experimentation ... Hybrid: 3 days on-site, 2 days remote. Why this role You'll shape the technical foundation of a ...

Web Scraping Specialist

New York, NY ยท On-site +1

$75K - $100K/yr

Remote with a 6 hour overlap with EST Remote Full-time Compensation: $75K - $100K We are hiring on ... In-depth knowledge of HTML, CSS, JavaScript, and the Document Object Model (DOM). * Data Storage:

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Remote Predictive Modeling information

See Wayne, NJ salary details

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How much do remote predictive modeling jobs pay per hour?

As of Jul 16, 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:
Data Scientist

Data Scientist

Junction

New York, NY โ€ข On-site, Remote

$180K - $220K/yr

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago


Job description

Healthcare is in crisis and the people behind the results deserve better. With more and more data coming from wearables, lab tests, and patient-doctor interactions, we're entering an era where data is abundant.
Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. Our mission is simple but ambitious: use health data to unlock unprecedented insight into human health and disease.
If you're passionate about how technology can supercharge healthcare, you'll fit right in.
Backed by Creandum, Point Nine, 20VC, YC, and leading angels, we're working to solve one of the biggest challenges of our time: making healthcare personalized, proactive, and affordable. We're already connecting millions and scaling fast.
Short on time? TL;DR
  • You: Can define what should be measured, how it should be modeled, and how those insights should shape product and company decisions.
  • Ownership: You'll own Junction's highest-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development.
  • Scope: This is not a pure IC modeling role and not a reporting role. You'll set the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes.
  • Salary: $180,000 - $220,000 + equity
  • Location: Fully remote (EST timezone only)

Why we need you
Junction sits in the flow of high-value diagnostics and clinical data. As the company grows, our advantage moves beyond just having data to having the ability to turn it into reliable intelligence improving product decisions, customer outcomes, and the performance of the business.
Some of that work exists today, but it is not yet owned as a coherent function. Models get built. Analyses get done. Experiments answer local questions. But we need someone who can define the broader scientific and analytical system: what we should measure, what methods we trust, where modeling creates real leverage, and how that work translates into products and decisions that hold up outside a demo.
We're hiring our first Data Scientist to take ownership of, and establish that standard.
This role will lead Junction's most important modeling, experimentation, and evaluation work. You'll partner closely with data, product engineering and leadership teams to drive the analytical roadmap by which Junction can leverage differentiated value from data.
What you'll be doing day to day
  • Own the research and modeling work underlying Junction's highest-priority data science opportunities across diagnostics, clinical workflows, and AI-enabled product features
  • Define rigorous frameworks for measurement, experimentation, and causal evaluation so we can distinguish signal from noise and make decisions we can defend
  • Lead development of predictive models, segmentation approaches, risk or routing logic, and other statistical systems that directly inform product and business strategy
  • Build the analytical foundation behind customer-facing features - from model development through to validation and performance tracking
  • Partner with engineering and data engineering to ensure models and analytical systems can be put in production, are reliable, and useful in real workflows
  • Establish how Junction evaluates data-driven and AI-enabled features, including methodology, quality thresholds, monitoring, and performance review
  • Communicate complex technical findings clearly to technical and non-technical stakeholders, including tradeoffs, limitations, and implications for action

Requirements
  • Strong track record of leading high-stakes analytical work that influenced product, operational, or business decisions
  • Deep foundation in statistical inference, experimental design, observational analysis, and model evaluation
  • Strong Python and/or R skills, with experience working on large, messy real-world datasets
  • Experience building predictive or decision-support models in production or near-production environments
  • Experience partnering closely with engineering to move work from analysis or prototype into deployed systems
  • Ability to operate at both strategic and hands-on levels: defining the roadmap while also getting into the details when needed
  • Strong communication and stakeholder management skills; able to explain methods, findings, and tradeoffs to executives as well as technical peers
  • Comfort operating in a startup environment with ambiguity, limited structure, and high ownership

Nice to have
  • Experience designing, executing, and publishing research studies
  • Experience with HIPAA, PHI, or other regulatory clinical frameworks
  • Deep familiarity with modern data tooling and production workflows across warehouses, orchestration, and transformation layers
  • Experience developing, deploying, and designing evaluation frameworks for LLM or AI-powered features in customer-facing products
  • Expertise directly working with healthcare, diagnostics, lab data, wearable data, and other clinical data
  • Experience applying causal inference methods, such as diff-in-diff, propensity scoring, or instrumental variables in practice

What this role isn't
  • Not an analytics role focused on dashboards, reporting, or one-off analysis
  • Not an ML platform role - you won't own infrastructure or tooling
  • Not a good fit if you mainly want to experiment with models or AI ideas without being accountable for how they perform in production
  • Not a good fit if you struggle with ambiguity. Knowing what to work on is part of the job

How you'll be compensated
  • Salary: $180,000 - $220,000 + equity
  • Your salary is dependent on your location and experience level
  • Equity (extended exercise post 2 years of employment)
  • Company and team offsites
  • Monthly learning budget of $150 for personal development and productivity
  • $100 monthly wellness budget
  • Flexible, remote-first working - including $1K for home office equipment
  • Coworking budget
  • 36 days paid time off (including bank holidays)
  • Premium healthcare coverage
  • 4% monthly contribution to pension/401k
  • Yearly blood test on us
  • Enhanced parental, foster, and adoption leave

Important details before applying:
  • We only hire folks physically based in GMT and EST timezones - more information here
  • We do not sponsor visas right now given our stage