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Temporary Machine Learning Scientist Jobs in Waco, TX

Actuary The Senior Actuarial Data Scientist is responsible for performing complex analyses, applying advanced predictive analytics and machine learning techniques, arranging data in an optimal format ...

What you'll do as a Data Scientist: * Perform data mining, exploration, and analysis ... Design, train, evaluate and implement machine learning algorithms and predictive models. * Work ...

Develop and deploy machine learning and generative AI solutions that support enterprise use cases ... Associate Degree in Computer Science, Electrical Engineering, Information Systems, or closely ...

Prior experience developing or applying rubrics in scientific or educational contexts. * Experience with AI, machine learning, or annotation projects related to biology or microbiology. * Advanced ...

Bachelor's Degree in AI/ML, Computer Science, Information Systems, or closely related field of ... Basic understanding of machine learning concepts, generative AI, large language models, prompt ...

... machine learning, analytics, or automation initiatives • Experience working within financial ... AI, data science, cloud platforms, or change management preferred Company : Extraco Banks is a ...

Bachelor's degree in Computer Science, Data Science, Information Systems, Business, Finance, or a ... Demonstrated experience leading or managing AI, machine learning, analytics, or automation ...

Bachelor's degree in Computer Science, Data Science, Information Systems, Business, Finance, or a ... Demonstrated experience leading or managing AI, machine learning, analytics, or automation ...

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Temporary Machine Learning Scientist information

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 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 cities near Waco, TX are hiring for Temporary Machine Learning Scientist jobs? Cities near Waco, TX with the most Temporary Machine Learning Scientist job openings:
Infographic showing various Temporary Machine Learning Scientist job openings in Waco, TX as of June 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 68% In-person, and 32% Remote job distribution.

Senior Actuarial Data Scientist

Socket.dev

Waco, TX • On-site

$120 - $190/hr

Other

Posted 4 days ago


Job description

Req #150

7420 Fish Pond Rd, Waco, TX 76710, USA

Job Description

Posted Wednesday, June 24, 2026, 12:00 AM

The Voice of Texas Agriculture.

Company Name: Texas Farm Bureau Casualty Insurance Company | Department: Actuary

The Senior Actuarial Data Scientist is responsible for performing complex analyses, applying advanced predictive analytics and machine learning techniques, arranging data in an optimal format, and running simulation and optimization techniques to generate growth and profitability insights for the Texas Farm Bureau Insurance Companies at the direction of the Director of Pricing.

MAJOR RESPONSIBILITIES AND AUTHORITY

Perform advanced analytics using predictive modeling, machine learning, and other advanced techniques.

Identifies, recommends, and pursue projects, analyses, and other items to further advance corporate initiatives.

Builds large and complex information sets using both unstructured and structured data.

Provides detailed insights to management on issues.

Use data driven insights to recommend opportunities for growth, competitiveness, and profitability.

Effectively communicate results of advanced analytics to both technical and non- technical audiences.

Recommend and develop new metrics to advance decision making.

Other duties as assigned.

Provide after-hours support, if necessary.

Comply with the Certified Fleet Operation requirements of the Company Driving and Safety policy.

MINIMUM POSITION QUALIFICATIONS

Master’s Degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field or several years of related experience.

Ability to lead multiple projects while providing effective input and briefing senior leaders.

Strong problem solving abilities.

Ability and willingness to learn and extend skills and mentor others.

Strong oral and written communication skills.

Experience in stochastic modeling, machine learning, and other advanced mathematical techniques.

Experience in performing and implementing generalized linear models.

Experience building structured and unstructured data sets together.

Experience with SQL and Python, or other high-level programming language.

Proficient in use of Microsoft Office software.

Willing to travel as required.

Valid Texas driver’s license and driving record at the time of hire which would not place the employee on probation, or disqualify the employee from Certified Fleet Operator status under the Company Driving and Safety Policy.

PHYSICAL REQUIREMENTS

Use of PC, telephone, copy machine, fax, and other office equipment over six (6) hours per day.

Extended periods of sitting and concentration.

WORKING CONDITIONS

Occasional long, irregular hours.

Work to be conducted in office environment owned/leased by company.

Occasional travel by auto or other public transportation.

Texas Farm Bureau is an Equal Opportunity Employer (M/F/D/V).

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