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Temporary Predictive Modeling Jobs in California

Scripps College

Post-Doctoral Researcher

Claremont, CA · On-site

$70K/yr

Independently design and perform advanced analytical and computational research to benchmark, model ... This is a temporary status, full-time, benefits eligible, exempt position. The position is expected ...

Scripps College

Post-Doctoral Researcher

Claremont, CA · Hybrid

$70K/yr

Independently design and perform advanced analytical and computational research to benchmark, model ... This is a temporary status, full-time, benefits eligible, exempt position. The position is expected ...

W3Global Inc.

Staff Attorney

San Francisco, CA

$72K - $105K/yr

... predictive coding models for document review. * Conduct legal and factual research and writing as ... We specialize in placing permanent, direct, contract, and temporary positions for companies of any ...

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Avathon

IT Support Specialist

Pleasanton, CA

$70K - $110K/yr

... modeling, natural language processing, and computer vision, Avathon delivers real-time predictive ... Contract and temporary roles are not eligible for the above benefits. Avathon is an Equal ...

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Temporary Predictive Modeling information

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.
What are the most commonly searched types of Predictive Modeling jobs in California? The most popular types of Predictive Modeling jobs in California are:
What are popular job titles related to Temporary Predictive Modeling jobs in California? For Temporary Predictive Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Temporary Predictive Modeling jobs in California look for? The top searched job categories for Temporary Predictive Modeling jobs in California are:
What cities in California are hiring for Temporary Predictive Modeling jobs? Cities in California with the most Temporary Predictive Modeling job openings:
Temporary Predictive Modeling jobs near you
Post-Doctoral Researcher

Post-Doctoral Researcher

Scripps College

Claremont, CA • On-site

$70K/yr

Full-time

Posted 16 days ago

Job description

Claremont, CA
Job Posting Title:
Post-Doctoral Researcher
Job Description:
PRIMARY PURPOSE/GENERAL DESCRIPTION:
Working with Professor Sarah Marzen, the Post-Doctoral Researcher will serve in an advanced professional research capacity to conduct original scholarly and scientific research relating to the engineering of hybrid adaptive networks. The Researcher will routinely need to apply advanced knowledge in physics, applied mathematics, biophysics, scientific computing, and related fields.
DESCRIPTION OF DUTIES AND RESPONSIBILITIES:
ESSENTIAL FUNCTIONS:
This information is intended to be descriptive of the key responsibilities of the position. The incumbent will primarily be engaged in advanced intellectual and creative professional work requiring specialized academic training and the exercise of discretion and independent judgment. Additional duties may be assigned; any such additional duties will primarily be consistent with the professional nature of the position.
  • Independently design and perform advanced analytical and computational research to benchmark, model, calibrate, and evaluate the performance of hybrid adaptive networks.
  • Develop, test, and refine original theories, methodologies, neural network topologies, and engineered dynamics to improve the design and predictive performance of hybrid adaptive networks.
  • Collaborate with internal and external research partners, including University of Maryland collaborators on a large MURI project, to formulate research objectives, analyze complex scientific issues, compare engineered and optimal neural network topologies, and develop new topologies for practical implementation.
  • Provide research guidance and technical direction to undergraduate lab assistants, research staff, and other junior collaborators in connection with ongoing scientific projects.
  • Prepare publication-quality manuscripts, research reports, presentations, and open-source computational tools that communicate original scientific findings for leading journals and professional audiences in biophysics, applied mathematics, and related disciplines.
  • Actively support the College's Principles of Community and Institutional Values in the performance of professional responsibilities.

REQUIRED KNOWLEDGE, SKILLS, ABILITIES:
Individuals must possess knowledge, skills and abilities to successfully perform the essential functions of the position, or be able to explain or demonstrate how the essential functions will be performed, with or without reasonable accommodation, using some other combination of skills and abilities.
  • Ability to demonstrate excellent written and verbal communication skills, and meticulous attention to detail.
  • Ability to interact with faculty, staff, and other members of a college community.
  • Ability to process large amounts of information and manage multiple deadlines efficiently and accurately.
  • Knowledge of Workday is a plus.
  • Excellent computer skills, preferably with Microsoft Office (Excel and Word), LaTeX, and Python or some other scientific computing software.
  • Excellent communication skills, including writing scientific papers and giving scientific presentations.
  • Excellent analytic skills, including proficiency with several areas of mathematics such as dynamical systems and information theory.
  • Independent judgment exercised to produce ready-to-go drafts of scientific papers and scientific presentations.
  • Demonstrated ability to exercise discretion and independent judgment in conducting advanced scientific research and in preparing near-final scientific papers, technical analyses, and professional presentations.

QUALIFICATION STANDARDS:
EDUCATION & EXPERIENCE:
Ph.D. in physics or a closely related scientific field is required. The position requires advanced knowledge in a field of science or learning customarily acquired through a prolonged course of specialized intellectual instruction. Demonstrated research experience in mathematical modeling, theoretical or computational science, neural networks, biophysics, applied mathematics, or related disciplines is strongly preferred.
LICENSES / CERTIFICATES:
None.
OTHER:
HOURS & CLASSIFICATION AND STATUS:
This is a temporary status, full-time, benefits eligible, exempt position.
The position is expected to fulfill the responsibilities of a full-time professional appointment. Work hours may vary as necessary to meet research, project, publication, collaboration, and departmental needs, but generally, regular work hours for this position are Monday-Friday 8:00 am-5:00 pm.
This assignment is expected to end on or before September 11, 2029, and is contingent upon availability of grant funding.
Salary rate: $70,304.00 annualized for illustration purposes only. The salary rate of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty, and training.
Applicants must be authorized to work for any employer in the US. We are unable to sponsor employment visas at this time.
SUPERVISORY RESPONSIBILITY:
May provide project-based oversight, mentoring, or direction to a post-baccalaureate research assistant, undergraduate lab assistants, research staff, or similar junior personnel in connection with scientific work.
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is quiet to moderate.
Physical and Mental Requirements
Ability to maintain good concentration level while dealing with interruptions; attention to details with emphasis on accuracy; capable of giving, receiving, and analyzing information, formulating work plans, and articulating goals and action plans.
Sitting in a normal seated position for extended periods of time. Standing for extended periods of time. Reaching and extending hand(s) or arm(s) in any direction. Finger dexterity required to manipulate objects with fingers rather than the whole hand(s), or arm(s), for example, using a keyboard. Communication skills using the spoken word. Ability to see within normal parameters. Ability to hear within normal parameters. Ability to bend and stoop, for example, to file. Ability to move about. Ability to lift and carry short distances up to 20 lbs., for example to lift or move office supplies, files, books and packages.
At-Will Employment
Regular employment at the College is for no specified period of time; conditions and status of employment (hours, pay, title, duties, etc.) are subject to change at any time. Scripps College is an At-Will employer. Employees, and likewise the College, are free to end the employment relationship at any time, for any reason, with or without notice or cause, unless otherwise prohibited by law.

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