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Temporary Machine Learning Scientist Jobs in Marmora, NJ

ATEC, LLC

Software Engineer (TGF)

NJ · On-site

Exposure to machine learning frameworks EDUCATION/YEARS of EXPERIENCE REQUIREMENTS: * Engineering, math, and science degrees are required with 3+ years of experience. A master's degree in an ...

Walmart

Stocking Team Associate

NJ · On-site

$16 - $29/hr

Employment Type: Full-Time, Temporary Available shifts: Mid-Shift, Closing, Overnight Location ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

All JobsMachine Learning Scientist JobsTemporary Machine Learning Scientist JobsTemporary Machine Learning Scientist Jobs in Marmora, NJ

Temporary Machine Learning Scientist information

What is a temporary machine learning scientist?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do temporary machine learning scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a temporary machine learning scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.

What is the difference between Temporary Machine Learning Scientist vs Data Scientist?

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What cities near Marmora, NJ are hiring for Temporary Machine Learning Scientist jobs?

Cities near Marmora, NJ with the most Temporary Machine Learning Scientist job openings:

Temporary Machine Learning Scientist jobs near you
Infographic showing various Temporary Machine Learning Scientist job openings in Marmora, NJ as of June 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 68% In-person, and 32% Remote job distribution.

Data Scientist

Signature Science, LLC

Egg Harbor Township, NJ • On-site

$75K/yr

Full-time

Re-posted 24 days ago

Job description

Position Purpose: 

The primary purpose of this position is to serve as the data scientist with a split portfolio between the Atlantic City office and the Austin chemistry group.

Essential Duties and Responsibilities:

  • Performs data analytics, specifically data clean-up, data processing, predictive modeling, chemometric statistical modeling and analysis, multivariate data analysis, machine learning, and/or data mining, as related to scientific data.
  • Applies technical skills to plan and execute assigned project work including development of computational models, programming of detection algorithms, and machine learning.
  • Maintains operational capabilities of computation assets as needed by project requirements.
  • Leads meetings with company clients by preparing and presenting meeting materials in meetings.
  • Appropriately annotates project developed computer code through comments and user manuals.
  • Presents technical results through the drafting of technical reports. 
  • Presents experimental results and recommended actions at internal project meetings.
  • Supports business development efforts as needed by drafting technical sections of proposals, providing proposal review, assessing levels of effort required to complete proposed work, and brainstorming technical solutions to client problems.
  • Other duties as assigned.

Required Knowledge, Skills & Abilities:

  • Ability to plan sequence of experiments to answer complicated technical questions
  • Ability to lead group of co-workers in execution of a task
  • Software programming proficiency with Java, C, R, Python, and/or MATLAB
  • Working knowledge of statistics as it applies to scientific data
  • Ability to communicate technical information to non-technical audiences
  • Team player with a positive attitude
  • Department of Homeland Security Suitability
  • Department of Defense Secret Clearance
  • Working knowledge of software development practices including Agile development and Git version control
  • Sufficient business knowledge to support proposal efforts

 

Education/Experience:

Incumbent professional should have a Ph.D. or master's degree in a physical science (preferably chemistry), statistics, or data science and significant experience in computer programming, computational modeling, or software development.

Certificates and Licenses: 

None

 

Clearance: 

The ability to obtain a Secret clearance and Department of Homeland Security suitability is required for this position.

Supervisory Responsibilities: 

The incumbent professional may oversee junior level staff members performing tasks.

Working Conditions/ Equipment: 

The incumbent professional is expected to work and/or be available during regular business hours.  He/she should also generally be available via e-mail or phone during non-business hours as needed to address critical issues or emergencies.  He/she may be required to travel on behalf of the company up to 25%.

The above job description is not intended to be an all-inclusive list of duties and standards of the position.  Incumbents will follow any other instructions and perform any other related duties, as assigned by their supervisor.