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Temporary Predictive Modeling Jobs (NOW HIRING)

AllSTEM Connections

Business Analyst

Universal City, CA · On-site

$156K/yr

... and predictive modeling. Equal Opportunity Employer / Disabled / Protected Veterans The Know Your Rights poster is available here: The pay transparency policy is available here: For temporary ...

Uottawa

APTPUO - Fall 2026 - GEG3300-A00

Campus, IL · On-site

$239.47/hr

Predictive modeling and machine learning Posting limited to: Professeur a temps-partiel etudiant/ Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05/20 Applications must be received BEFORE ...

Ensemble Health Partners, Inc.

Analyst II, Analytics

$92K - $126K/yr

Experience with inferential statistics, predictive modeling, and hypothesis testing. * Knowledge of ... temporary, or corporate office locations as business needs require. * This position pays between ...

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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:
Temporary Predictive Modeling jobs near you
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.
Data Scientist - Tech Ops

Data Scientist - Tech Ops

Kforce Technology Staffing

Queens, NY

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Scientist in Long Island City, NY.
Summary:
We are seeking a Data Scientist with strong Machine Learning and engineering experience to support predictive maintenance and operational optimization initiatives. This role focuses on building models and analytics that improve fleet reliability, reduce downtime, and enable proactive maintenance decisions.
Key Responsibilities:
* Build and deploy predictive models to forecast equipment/component failures
* Analyze sensor, maintenance, and operational data to identify patterns and failure signals
* Develop solutions to differentiate root causes vs. temporary fixes and recurring verses isolated issues
* Design data pipelines and real-time monitoring solutions
* Partner with cross-functional teams to improve maintenance efficiency and fleet planning
* Translate complex data insights into actionable recommendations
REQUIREMENTS:
* Strong experience with Machine Learning, data pipelines, and production environments
* Proficiency in Python, SQL, and modern data/ML tools
* Experience working with large-scale or real-time data
* Analytical mindset with strong problem-solving and communication skills
* Experience in aviation, maintenance, or operational analytics
* Background in predictive maintenance or reliability modeling
* Exposure to emerging AI/LLM-based solutions
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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