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Temporary Predictive Modeling Jobs (NOW HIRING)

Advance experience applying data analytics and predictive modeling to improve enrollment outcomes ... Available, Temporary, and Waiver of Posting Special Instructions to Applicants Applicant ...

Temp to perm, for the right candidate. This is a local Remote position Overview The AI Architect is ... Agentic AI, predictive models, conversational systems, and intelligent automation. Required ...

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Temporary Predictive Modeling information

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$43.5K

$90.3K

$142K

How much do temporary predictive modeling jobs pay per year?

As of Jun 20, 2026, the average yearly pay for temporary predictive modeling in the United States is $90,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $107,000.00 per year, depending on experience, location, and employer.

What jobs will no longer exist in 2030?

Predictive modeling jobs are expected to evolve significantly by 2030 due to advancements in AI and automation. Roles that rely heavily on manual data processing or routine analysis may diminish as machine learning tools become more capable, but specialized predictive modeling positions that require complex analysis and domain expertise will continue to be in demand. Continuous learning in programming, statistics, and AI tools will be essential for future professionals in this field.

Is 40 too late for data science?

Age is not a barrier to entering a predictive modeling or data science role. 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 problem-solving ability, making it possible to start a data science career at age 40 or older.

How do you do predictive modeling?

Predictive modeling involves analyzing historical data using statistical techniques and machine learning algorithms to develop models that forecast future outcomes. It requires data cleaning, feature selection, model training, and validation, often using tools like Python or R. Strong analytical skills and understanding of algorithms are essential for effective predictive modeling.

What is the difference between Temporary Predictive Modeling vs Data Analyst?

AspectTemporary Predictive ModelingData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; experience with modeling toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentProject-based, focused on building predictive models for specific business needsOngoing data interpretation, reporting, and visualization tasks
Employer & Industry UsageUsed in industries like finance, marketing, and tech for predictive insightsCommon across industries for data reporting and analysis
Search & Comparison IntentSeeking temporary roles focused on predictive modeling tasksLooking for data analysis roles involving data interpretation

Temporary Predictive Modeling roles focus on developing specific predictive models for short-term projects, requiring specialized skills in modeling techniques. Data Analysts perform ongoing data interpretation and reporting, often with broader data handling responsibilities. While both roles require analytical skills, their focus and scope differ significantly.

Is predictive modeling difficult?

Predictive modeling as a job involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex depending on the project's scope and data quality. It requires skills in statistics, programming, and data analysis tools like Python or R, and often involves continuous learning to stay updated with new techniques. The difficulty varies based on experience and the complexity of the problems being addressed.
More about Temporary Predictive Modeling jobs
What cities are hiring for Temporary Predictive Modeling jobs? Cities with the most Temporary Predictive Modeling job openings:
What are the most commonly searched types of Predictive Modeling jobs? The most popular types of Predictive Modeling jobs are:
What states have the most Temporary Predictive Modeling jobs? States with the most job openings for Temporary Predictive Modeling jobs include:
What job categories do people searching Temporary Predictive Modeling jobs look for? The top searched job categories for Temporary Predictive Modeling jobs are:
Infographic showing various Temporary Predictive Modeling job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $90,268 per year, or $43.4 per hour.
Applied Science Manager - Match & Affordances, Amazon Robotics

Applied Science Manager - Match & Affordances, Amazon Robotics

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,870 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Do you want to create intelligent, adaptable robots with global impact. The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans-at Amazon scale. We invent and deploy machine learning, optimization algorithms, and geometric reasoning models that empower robots to identify the best available placement opportunities, learn effective stow strategies, and continuously improve capacity utilization.
Our mission is to maximize throughput developing intelligent policies that understand physical constraints, reason about geometric action opportunities, and select behaviors that achieve high-density, reliable stowing

We hire and develop ML experts in reinforcement learning, combinatorial optimization, predictive modeling, and decision systems. Our solutions learn from millions of stowing decisions to continuously improve warehouse capacity and throughput.
We are seeking an experienced Applied Science Manager for Match and Affordances team to lead a team of talented applied scientists and engineers. You will drive ML innovation using the latest advancements in transformer-based architectures to enable maximum storage utilization, learn affordances and behaviors in high-density environments with the reliability and scale that delights our customers

Collaborating with cross-functional teams across perception, motion planning, and fulfillment operations, you will deliver scalable solutions that optimize stow strategy and warehouse capacity across geographies and conditions.
Key job responsibilities
People Leadership: Prioritize being a great people manager - motivating, rewarding, and coaching your diverse team is the most important part of this role. Recruit and retain top talent in machine learning, optimization, and decision systems. Excel in day-to-day people and performance management tasks.
Technical Vision: Set a vision for your team and create technical roadmaps focused on stow policy development, placement optimization, and density improvements

Guide research, design, deployment, and evaluation of ML and RL algorithms, optimization methods, and geometric reasoning systems that inform robot action selection.
Cross-functional Collaboration: Work closely with perception, motion planning, hardware, and fulfillment teams to create integrated solutions that maximize storage density while maintaining operational reliability. Partner with computer vision teams on 3D scene understanding and container geometry representation that drives policy learning.
Delivery Excellence: Implement best practices in applied research and software development. Manage project timelines, resources, and deliverables effectively

Keep technical skills current to contribute meaningfully to architecture and design discussions.
Problem Solving: Regularly participate in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify root causes of policy regressions, optimization failures, and KPI degradations.
A day in the life
- Prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in people and performance management tasks.
- Set a vision for the team and create the technical roadmap that deliver results for customers while thinking big for future applications.
- Guide the research, design, deployment, and evaluation of complex computer vision and machine learning algorithms for contact-rich, cluttered, real-world manipulation problems.
- Work closely with motion, hardware, and software teams to create integrated robotic solutions that are better than the sum of their parts.
- Implement best practices in applied research and software development, managing project timelines, resources, and deliverables effectively.
Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children

Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2.

Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you.

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
About the team
Watch this video to learn more about Vulcan program in Amazon Robotics: https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US